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https://github.com/anomalyco/opencode.git
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1
Commits
| Author | SHA1 | Date | |
|---|---|---|---|
 Adam
|
cc49556e61 |
@@ -29,7 +29,7 @@
|
||||
},
|
||||
"packages/app": {
|
||||
"name": "@opencode-ai/app",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"dependencies": {
|
||||
"@corvu/drawer": "catalog:",
|
||||
"@dnd-kit/abstract": "0.5.0",
|
||||
@@ -96,7 +96,7 @@
|
||||
},
|
||||
"packages/cli": {
|
||||
"name": "@opencode-ai/cli",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"bin": {
|
||||
"lildax": "./bin/lildax.cjs",
|
||||
},
|
||||
@@ -144,7 +144,7 @@
|
||||
},
|
||||
"packages/codemode": {
|
||||
"name": "@opencode-ai/codemode",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"dependencies": {
|
||||
"acorn": "8.15.0",
|
||||
"effect": "catalog:",
|
||||
@@ -158,7 +158,7 @@
|
||||
},
|
||||
"packages/console/app": {
|
||||
"name": "@opencode-ai/console-app",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"dependencies": {
|
||||
"@cloudflare/vite-plugin": "1.15.2",
|
||||
"@ibm/plex": "6.4.1",
|
||||
@@ -195,7 +195,7 @@
|
||||
},
|
||||
"packages/console/core": {
|
||||
"name": "@opencode-ai/console-core",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"dependencies": {
|
||||
"@aws-sdk/client-sts": "3.782.0",
|
||||
"@jsx-email/render": "1.1.1",
|
||||
@@ -222,7 +222,7 @@
|
||||
},
|
||||
"packages/console/function": {
|
||||
"name": "@opencode-ai/console-function",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"dependencies": {
|
||||
"@ai-sdk/anthropic": "3.0.82",
|
||||
"@ai-sdk/openai": "3.0.48",
|
||||
@@ -245,7 +245,7 @@
|
||||
},
|
||||
"packages/console/mail": {
|
||||
"name": "@opencode-ai/console-mail",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"dependencies": {
|
||||
"@jsx-email/all": "2.2.3",
|
||||
"@jsx-email/cli": "1.4.3",
|
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@@ -269,7 +269,7 @@
|
||||
},
|
||||
"packages/console/support": {
|
||||
"name": "@opencode-ai/console-support",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"dependencies": {
|
||||
"@cloudflare/vite-plugin": "1.15.2",
|
||||
"@opencode-ai/console-core": "workspace:*",
|
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@@ -289,7 +289,7 @@
|
||||
},
|
||||
"packages/core": {
|
||||
"name": "@opencode-ai/core",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"bin": {
|
||||
"opencode": "./bin/opencode",
|
||||
},
|
||||
@@ -383,7 +383,7 @@
|
||||
},
|
||||
"packages/desktop": {
|
||||
"name": "@opencode-ai/desktop",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"dependencies": {
|
||||
"@zip.js/zip.js": "2.7.62",
|
||||
"drizzle-orm": "catalog:",
|
||||
@@ -437,7 +437,7 @@
|
||||
},
|
||||
"packages/effect-drizzle-sqlite": {
|
||||
"name": "@opencode-ai/effect-drizzle-sqlite",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"dependencies": {
|
||||
"drizzle-orm": "catalog:",
|
||||
"effect": "catalog:",
|
||||
@@ -451,7 +451,7 @@
|
||||
},
|
||||
"packages/effect-sqlite-node": {
|
||||
"name": "@opencode-ai/effect-sqlite-node",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"dependencies": {
|
||||
"effect": "catalog:",
|
||||
},
|
||||
@@ -463,7 +463,7 @@
|
||||
},
|
||||
"packages/enterprise": {
|
||||
"name": "@opencode-ai/enterprise",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"dependencies": {
|
||||
"@hono/standard-validator": "catalog:",
|
||||
"@opencode-ai/core": "workspace:*",
|
||||
@@ -495,7 +495,7 @@
|
||||
},
|
||||
"packages/function": {
|
||||
"name": "@opencode-ai/function",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"dependencies": {
|
||||
"@octokit/auth-app": "8.0.1",
|
||||
"@octokit/rest": "catalog:",
|
||||
@@ -511,7 +511,7 @@
|
||||
},
|
||||
"packages/http-recorder": {
|
||||
"name": "@opencode-ai/http-recorder",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"dependencies": {
|
||||
"@effect/platform-node": "4.0.0-beta.83",
|
||||
"@effect/platform-node-shared": "4.0.0-beta.83",
|
||||
@@ -542,7 +542,7 @@
|
||||
},
|
||||
"packages/llm": {
|
||||
"name": "@opencode-ai/llm",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"dependencies": {
|
||||
"@opencode-ai/schema": "workspace:*",
|
||||
"@smithy/eventstream-codec": "4.2.14",
|
||||
@@ -561,7 +561,7 @@
|
||||
},
|
||||
"packages/opencode": {
|
||||
"name": "opencode",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"bin": {
|
||||
"opencode": "./bin/opencode",
|
||||
},
|
||||
@@ -692,7 +692,7 @@
|
||||
},
|
||||
"packages/plugin": {
|
||||
"name": "@opencode-ai/plugin",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"dependencies": {
|
||||
"@ai-sdk/provider": "3.0.8",
|
||||
"@opencode-ai/sdk": "workspace:*",
|
||||
@@ -768,7 +768,7 @@
|
||||
},
|
||||
"packages/sdk/js": {
|
||||
"name": "@opencode-ai/sdk",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"dependencies": {
|
||||
"cross-spawn": "catalog:",
|
||||
},
|
||||
@@ -783,7 +783,7 @@
|
||||
},
|
||||
"packages/server": {
|
||||
"name": "@opencode-ai/server",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"dependencies": {
|
||||
"@opencode-ai/core": "workspace:*",
|
||||
"@opencode-ai/protocol": "workspace:*",
|
||||
@@ -798,7 +798,7 @@
|
||||
},
|
||||
"packages/session-ui": {
|
||||
"name": "@opencode-ai/session-ui",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"dependencies": {
|
||||
"@kobalte/core": "catalog:",
|
||||
"@opencode-ai/client": "file:../app/vendor/opencode-ai-client-1.17.13-v2.tgz",
|
||||
@@ -838,7 +838,7 @@
|
||||
},
|
||||
"packages/slack": {
|
||||
"name": "@opencode-ai/slack",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"dependencies": {
|
||||
"@opencode-ai/sdk": "workspace:*",
|
||||
"@slack/bolt": "^3.17.1",
|
||||
@@ -851,7 +851,7 @@
|
||||
},
|
||||
"packages/stats/app": {
|
||||
"name": "@opencode-ai/stats-app",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"dependencies": {
|
||||
"@ibm/plex": "6.4.1",
|
||||
"@kobalte/core": "catalog:",
|
||||
@@ -878,7 +878,7 @@
|
||||
},
|
||||
"packages/stats/core": {
|
||||
"name": "@opencode-ai/stats-core",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"dependencies": {
|
||||
"@aws-sdk/client-athena": "3.933.0",
|
||||
"@planetscale/database": "1.19.0",
|
||||
@@ -897,7 +897,7 @@
|
||||
},
|
||||
"packages/stats/server": {
|
||||
"name": "@opencode-ai/stats-server",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"dependencies": {
|
||||
"@aws-sdk/client-firehose": "3.933.0",
|
||||
"@effect/platform-node": "catalog:",
|
||||
@@ -939,7 +939,7 @@
|
||||
},
|
||||
"packages/tui": {
|
||||
"name": "@opencode-ai/tui",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"dependencies": {
|
||||
"@opencode-ai/core": "workspace:*",
|
||||
"@opencode-ai/plugin": "workspace:*",
|
||||
@@ -966,7 +966,7 @@
|
||||
},
|
||||
"packages/ui": {
|
||||
"name": "@opencode-ai/ui",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"dependencies": {
|
||||
"@kobalte/core": "catalog:",
|
||||
"@pierre/diffs": "catalog:",
|
||||
@@ -1017,7 +1017,7 @@
|
||||
},
|
||||
"packages/web": {
|
||||
"name": "@opencode-ai/web",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"dependencies": {
|
||||
"@astrojs/cloudflare": "12.6.3",
|
||||
"@astrojs/markdown-remark": "6.3.1",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@opencode-ai/app",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"description": "",
|
||||
"type": "module",
|
||||
"exports": {
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"name": "@opencode-ai/cli",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
"bin": {
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"name": "@opencode-ai/codemode",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"description": "Effect-native confined code execution over schema-described tools",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@opencode-ai/console-app",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
"scripts": {
|
||||
|
||||
@@ -14,7 +14,6 @@ export const goModels = [
|
||||
{ id: "hy4-preview", name: "Hy4 preview", requests: 1350, allowance: 30 },
|
||||
{ id: "gpt-5.6-luna", name: "GPT 5.6 Luna", requests: 2050, allowance: 15, featured: true },
|
||||
{ id: "minimax-m3", name: "MiniMax M3", requests: 3200, allowance: 60, featured: true },
|
||||
{ id: "mimo-v2.6-pro", name: "MiMo-V2.6-Pro", requests: 3250, allowance: 15, fresh: true },
|
||||
{ id: "mimo-v2.5-pro", name: "MiMo-V2.5-Pro", requests: 3250, allowance: 15 },
|
||||
{ id: "qwen3.6-plus", name: "Qwen3.6 Plus", requests: 3300, allowance: 60 },
|
||||
{ id: "minimax-m2.7", name: "MiniMax M2.7", requests: 3400, allowance: 60 },
|
||||
@@ -36,15 +35,7 @@ export const goModels = [
|
||||
fresh: true,
|
||||
},
|
||||
{ id: "longcat-2.0", name: "LongCat-2.0", requests: 11400, allowance: 60 },
|
||||
{
|
||||
id: "mimo-v2.6-flash",
|
||||
name: "MiMo-V2.6-Flash",
|
||||
requests: 30100,
|
||||
allowance: 60,
|
||||
featured: true,
|
||||
fresh: true,
|
||||
},
|
||||
{ id: "mimo-v2.5", name: "MiMo-V2.5", requests: 30100, allowance: 60 },
|
||||
{ id: "mimo-v2.5", name: "MiMo-V2.5", requests: 30100, allowance: 60, featured: true },
|
||||
{
|
||||
id: "muse-spark-1.3-contributor",
|
||||
name: "Muse Spark 1.3 Contributor",
|
||||
|
||||
@@ -16,7 +16,7 @@ export function LimitsGraph(props: { href: string }) {
|
||||
const id = createUniqueId()
|
||||
const [expanded, setExpanded] = createSignal(false)
|
||||
const [visible, setVisible] = createSignal(false)
|
||||
const models = createMemo(() => goModels.filter((model) => expanded() || model.featured))
|
||||
const models = createMemo(() => goModels.filter((model) => expanded() || model.featured || model.fresh))
|
||||
const format = createMemo(() => new Intl.NumberFormat(language.tag(language.locale())))
|
||||
const compact = createMemo(
|
||||
() => new Intl.NumberFormat(language.tag(language.locale()), { notation: "compact", maximumFractionDigits: 1 }),
|
||||
|
||||
@@ -4,6 +4,7 @@ import { UserTable } from "@opencode-ai/console-core/schema/user.sql.js"
|
||||
import { WorkspaceTable } from "@opencode-ai/console-core/schema/workspace.sql.js"
|
||||
import { redirect } from "@solidjs/router"
|
||||
import { Actor } from "@opencode-ai/console-core/actor.js"
|
||||
import { loginUrl } from "~/lib/login-redirect"
|
||||
|
||||
import { createClient } from "@openauthjs/openauth/client"
|
||||
|
||||
@@ -127,7 +128,7 @@ export const getActor = async (workspace?: string): Promise<Actor.Info> => {
|
||||
}
|
||||
}
|
||||
}
|
||||
throw redirect("/auth/authorize")
|
||||
throw redirect(loginUrl(evt.request))
|
||||
})()
|
||||
return evt.locals.actor
|
||||
}
|
||||
|
||||
@@ -0,0 +1,32 @@
|
||||
// Only same-origin page paths may round-trip through the login flow. The path is
|
||||
// appended to the OpenAuth callback URL, so anything that could change its origin
|
||||
// (`//host`, backslashes, schemes) or its query/fragment is rejected.
|
||||
export function continuePath(value: string | null | undefined) {
|
||||
if (!value) return undefined
|
||||
if (!value.startsWith("/") || value.startsWith("//")) return undefined
|
||||
if (/[\\?#\s]/.test(value)) return undefined
|
||||
if (value === "/auth" || value.startsWith("/auth/")) return undefined
|
||||
return value
|
||||
}
|
||||
|
||||
// Absolute so `@solidjs/router` performs a full navigation instead of a client-side
|
||||
// route change: `/auth/authorize` is a server-only API route, and navigating to it
|
||||
// in the SPA renders the 404 page.
|
||||
export function loginUrl(request: Request) {
|
||||
const url = new URL(request.url)
|
||||
const login = new URL("/auth/authorize", url.origin)
|
||||
const page = continuePath(pagePath(request, url))
|
||||
if (page) login.searchParams.set("continue", page)
|
||||
return login.toString()
|
||||
}
|
||||
|
||||
// Server function calls are POSTs to `/_server`; the page they came from is only
|
||||
// available through the referer, which the middleware keeps same-origin.
|
||||
function pagePath(request: Request, url: URL) {
|
||||
if (url.pathname !== "/_server") return url.pathname
|
||||
const referer = request.headers.get("referer")
|
||||
if (!referer || !URL.canParse(referer)) return undefined
|
||||
const source = new URL(referer)
|
||||
if (source.origin !== url.origin) return undefined
|
||||
return source.pathname
|
||||
}
|
||||
@@ -4,6 +4,7 @@ import { AuthClient } from "~/context/auth"
|
||||
import { useAuthSession } from "~/context/auth"
|
||||
import { i18n } from "~/i18n"
|
||||
import { localeFromRequest, route } from "~/lib/language"
|
||||
import { continuePath } from "~/lib/login-redirect"
|
||||
|
||||
export async function GET(input: APIEvent) {
|
||||
const url = new URL(input.request.url)
|
||||
@@ -32,7 +33,7 @@ export async function GET(input: APIEvent) {
|
||||
current: id,
|
||||
}
|
||||
})
|
||||
const next = url.pathname === "/auth/callback" ? "/auth" : url.pathname.replace("/auth/callback", "")
|
||||
const next = continuePath(url.pathname.slice("/auth/callback".length)) ?? "/auth"
|
||||
return redirect(route(locale, next))
|
||||
} catch (e: any) {
|
||||
return new Response(
|
||||
|
||||
@@ -1,9 +1,10 @@
|
||||
import type { APIEvent } from "@solidjs/start/server"
|
||||
import { AuthClient } from "~/context/auth"
|
||||
import { continuePath } from "~/lib/login-redirect"
|
||||
|
||||
export async function GET(input: APIEvent) {
|
||||
const url = new URL(input.request.url)
|
||||
const cont = url.searchParams.get("continue") ?? ""
|
||||
const cont = continuePath(url.searchParams.get("continue")) ?? ""
|
||||
const callbackUrl = new URL(`./callback${cont}`, input.request.url)
|
||||
const result = await AuthClient.authorize(callbackUrl.toString(), "code")
|
||||
return Response.redirect(result.url, 302)
|
||||
|
||||
@@ -36,8 +36,6 @@ const models = [
|
||||
{ name: "Kimi K2.7 Code", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
|
||||
{ name: "Kimi K2.6", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
|
||||
{ name: "LongCat-2.0", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
|
||||
{ name: "MiMo-V2.6-Pro", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
|
||||
{ name: "MiMo-V2.6-Flash", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
|
||||
{ name: "MiMo-V2.5-Pro", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
|
||||
{ name: "MiMo-V2.5", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
|
||||
{ name: "Qwen3.8 Max", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
|
||||
|
||||
@@ -664,8 +664,6 @@ export function LiteSection(props: { lite: LiteSubscription | undefined }) {
|
||||
<li>DeepSeek V4 Pro</li>
|
||||
<li>DeepSeek V4 Flash</li>
|
||||
<li>DeepSeek V4 Flash Vision Exp</li>
|
||||
<li>MiMo-V2.6-Flash</li>
|
||||
<li>MiMo-V2.6-Pro</li>
|
||||
<li>MiMo-V2.5</li>
|
||||
<li>MiMo-V2.5-Pro</li>
|
||||
<li>Hy4 preview</li>
|
||||
|
||||
@@ -0,0 +1,63 @@
|
||||
import { describe, expect, test } from "bun:test"
|
||||
import { continuePath, loginUrl } from "../src/lib/login-redirect"
|
||||
|
||||
describe("continue path", () => {
|
||||
test("accepts same-origin page paths", () => {
|
||||
expect(continuePath("/workspace/wrk_123/go")).toBe("/workspace/wrk_123/go")
|
||||
expect(continuePath("/")).toBe("/")
|
||||
})
|
||||
|
||||
test("rejects values that could leave the origin or the login flow", () => {
|
||||
const values = [
|
||||
undefined,
|
||||
null,
|
||||
"",
|
||||
"workspace/wrk_123",
|
||||
"//evil.example/phishing",
|
||||
"/\\evil.example",
|
||||
"https://evil.example/",
|
||||
"/workspace/wrk_123?x=1",
|
||||
"/workspace/wrk_123#x",
|
||||
"/workspace/wrk 123",
|
||||
"/auth",
|
||||
"/auth/authorize",
|
||||
]
|
||||
|
||||
expect(values.map(continuePath)).toEqual(values.map(() => undefined))
|
||||
})
|
||||
})
|
||||
|
||||
describe("login url", () => {
|
||||
test("returns to the requested page after login", () => {
|
||||
expect(loginUrl(new Request("https://opencode.ai/workspace/wrk_123/go"))).toBe(
|
||||
"https://opencode.ai/auth/authorize?continue=%2Fworkspace%2Fwrk_123%2Fgo",
|
||||
)
|
||||
})
|
||||
|
||||
test("returns to the page that called a server function", () => {
|
||||
expect(
|
||||
loginUrl(
|
||||
new Request("https://opencode.ai/_server?id=go.referral.get", {
|
||||
method: "POST",
|
||||
headers: { referer: "https://opencode.ai/workspace/wrk_123/go" },
|
||||
}),
|
||||
),
|
||||
).toBe("https://opencode.ai/auth/authorize?continue=%2Fworkspace%2Fwrk_123%2Fgo")
|
||||
})
|
||||
|
||||
test("drops unusable return locations", () => {
|
||||
const referers = ["https://evil.example/workspace/wrk_123", "not a url", undefined]
|
||||
|
||||
expect(
|
||||
referers.map((referer) =>
|
||||
loginUrl(
|
||||
new Request("https://opencode.ai/_server?id=go.referral.get", {
|
||||
method: "POST",
|
||||
headers: referer === undefined ? undefined : { referer },
|
||||
}),
|
||||
),
|
||||
),
|
||||
).toEqual(Array(referers.length).fill("https://opencode.ai/auth/authorize"))
|
||||
expect(loginUrl(new Request("https://opencode.ai/auth"))).toBe("https://opencode.ai/auth/authorize")
|
||||
})
|
||||
})
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"name": "@opencode-ai/console-core",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@opencode-ai/console-function",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@opencode-ai/console-mail",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"dependencies": {
|
||||
"@jsx-email/all": "2.2.3",
|
||||
"@jsx-email/cli": "1.4.3",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@opencode-ai/console-support",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
"scripts": {
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"name": "@opencode-ai/core",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -5,8 +5,7 @@ import path from "path"
|
||||
import { Context, Effect, Layer, Scope } from "effect"
|
||||
import { Fff } from "#fff"
|
||||
import fuzzysort from "fuzzysort"
|
||||
import { Entry, Match } from "@opencode-ai/schema/filesystem"
|
||||
import type { FileSystem } from "../filesystem"
|
||||
import { FileSystem } from "../filesystem"
|
||||
import { FSUtil } from "../fs-util"
|
||||
import { Location } from "../location"
|
||||
import { Ripgrep } from "../ripgrep"
|
||||
@@ -62,7 +61,7 @@ export const ripgrepLayer = Layer.effect(
|
||||
.pipe(
|
||||
Effect.map((result) =>
|
||||
result.map((entry) =>
|
||||
Entry.make({
|
||||
FileSystem.Entry.make({
|
||||
...entry,
|
||||
path: RelativePath.make(path.relative(location.directory, path.resolve(cwd, entry.path))),
|
||||
}),
|
||||
@@ -87,9 +86,9 @@ export const ripgrepLayer = Layer.effect(
|
||||
.pipe(
|
||||
Effect.map((result) =>
|
||||
result.map((match) =>
|
||||
Match.make({
|
||||
FileSystem.Match.make({
|
||||
...match,
|
||||
entry: Entry.make({
|
||||
entry: FileSystem.Entry.make({
|
||||
...match.entry,
|
||||
path: RelativePath.make(path.relative(location.directory, path.resolve(cwd, match.entry.path))),
|
||||
}),
|
||||
@@ -110,7 +109,7 @@ export const ripgrepLayer = Layer.effect(
|
||||
return fuzzysort.go(input.query, items, { limit: input.limit ?? 50 }).map((item) => {
|
||||
const relative = item.target
|
||||
const type = relative.endsWith(path.sep) ? ("directory" as const) : ("file" as const)
|
||||
return Entry.make({
|
||||
return FileSystem.Entry.make({
|
||||
path: RelativePath.make(relative),
|
||||
type,
|
||||
})
|
||||
@@ -155,7 +154,7 @@ export const fffLayer = Layer.effect(
|
||||
})
|
||||
if (!found.ok) throw found.error
|
||||
return found.value.items.map((item) =>
|
||||
Entry.make({
|
||||
FileSystem.Entry.make({
|
||||
path: RelativePath.make(item.relativePath.replaceAll("\\", "/")),
|
||||
type: "file",
|
||||
}),
|
||||
@@ -173,8 +172,8 @@ export const fffLayer = Layer.effect(
|
||||
if (!found.ok) throw found.error
|
||||
return found.value.items.map((match) => {
|
||||
const bytes = Buffer.from(match.lineContent)
|
||||
return Match.make({
|
||||
entry: Entry.make({
|
||||
return FileSystem.Match.make({
|
||||
entry: FileSystem.Entry.make({
|
||||
path: RelativePath.make(match.relativePath.replaceAll("\\", "/")),
|
||||
type: "file",
|
||||
}),
|
||||
@@ -223,7 +222,7 @@ export const fffLayer = Layer.effect(
|
||||
.sort((a, b) => b.score - a.score || a.path.length - b.path.length)
|
||||
.map((item) => {
|
||||
const relative = item.path.replaceAll("\\", "/").replace(/\/$/, "")
|
||||
return Entry.make({
|
||||
return FileSystem.Entry.make({
|
||||
path: RelativePath.make(relative + (item.type === "directory" ? path.sep : "")),
|
||||
type: item.type,
|
||||
})
|
||||
|
||||
@@ -1,8 +1,6 @@
|
||||
export * as Npm from "./npm"
|
||||
|
||||
import path from "path"
|
||||
import { createRequire } from "module"
|
||||
import { pathToFileURL } from "url"
|
||||
import npa from "npm-package-arg"
|
||||
import { Effect, Schema, Context, Layer, Option, FileSystem } from "effect"
|
||||
import { NodeFileSystem } from "@effect/platform-node"
|
||||
@@ -52,13 +50,7 @@ export function sanitize(pkg: string) {
|
||||
const resolveEntryPoint = (name: string, dir: string): EntryPoint => {
|
||||
let entrypoint: string | undefined
|
||||
try {
|
||||
// Node only honors the parent argument behind --experimental-import-meta-resolve, and
|
||||
// import() of the bare package directory fails with ERR_UNSUPPORTED_DIR_IMPORT. require
|
||||
// resolution picks the "require"/"default" export target, which import() loads fine.
|
||||
entrypoint =
|
||||
typeof Bun !== "undefined"
|
||||
? import.meta.resolve(name, dir)
|
||||
: pathToFileURL(createRequire(path.join(dir, "package.json")).resolve(name)).href
|
||||
entrypoint = typeof Bun !== "undefined" ? import.meta.resolve(name, dir) : import.meta.resolve(dir)
|
||||
} catch {
|
||||
entrypoint = undefined
|
||||
}
|
||||
|
||||
@@ -1,12 +1,10 @@
|
||||
import fs from "fs/promises"
|
||||
import path from "path"
|
||||
import { pathToFileURL } from "url"
|
||||
import { describe, expect, test } from "bun:test"
|
||||
import { Effect, Option } from "effect"
|
||||
import { AppNodeBuilder } from "@opencode-ai/core/effect/app-node-builder"
|
||||
import { Global } from "@opencode-ai/core/global"
|
||||
import { Npm } from "@opencode-ai/core/npm"
|
||||
import { which } from "@opencode-ai/core/util/which"
|
||||
import { tmpdir } from "./fixture/tmpdir"
|
||||
|
||||
const win = process.platform === "win32"
|
||||
@@ -57,74 +55,6 @@ describe("Npm.add", () => {
|
||||
|
||||
expect(entry.entrypoint).toBeDefined()
|
||||
})
|
||||
|
||||
// The Desktop sidecar runs the server under Node, where import.meta.resolve cannot take a
|
||||
// parent URL. Exercise the real Node branch instead of the Bun one the test runner uses.
|
||||
test("resolves an importable file URL under Node", async () => {
|
||||
await using tmp = await tmpdir()
|
||||
const node = which("node")
|
||||
if (!node) throw new Error("Node is required for the Npm Node runtime test")
|
||||
|
||||
const bundle = await Bun.build({
|
||||
entrypoints: [path.join(import.meta.dir, "../src/npm.ts")],
|
||||
target: "node",
|
||||
format: "esm",
|
||||
})
|
||||
expect(bundle.success).toBe(true)
|
||||
const entry = path.join(tmp.path, "npm.mjs")
|
||||
await Bun.write(entry, bundle.outputs[0])
|
||||
|
||||
const dual = path.join(tmp.path, "dual-provider")
|
||||
await writePackage(dual, {
|
||||
name: "dual-provider",
|
||||
exports: { ".": { import: "./dist/index.mjs", require: "./dist/index.js" } },
|
||||
})
|
||||
await Bun.write(path.join(dual, "dist", "index.mjs"), "export const createDual = () => 'esm'\n")
|
||||
await Bun.write(path.join(dual, "dist", "index.js"), "exports.createDual = () => 'cjs'\n")
|
||||
|
||||
const scoped = path.join(tmp.path, "scoped-provider")
|
||||
await writePackage(scoped, {
|
||||
name: "@fixture/scoped-provider",
|
||||
type: "module",
|
||||
exports: "./dist/index.js",
|
||||
})
|
||||
await Bun.write(path.join(scoped, "dist", "index.js"), "export const createScoped = () => 'scoped'\n")
|
||||
|
||||
const proc = Bun.spawn(
|
||||
[
|
||||
node,
|
||||
"--input-type=module",
|
||||
"-e",
|
||||
`
|
||||
import assert from "node:assert/strict"
|
||||
import { Npm } from ${JSON.stringify(pathToFileURL(entry).href)}
|
||||
assert.equal(typeof Bun, "undefined")
|
||||
for (const [spec, name] of [
|
||||
[${JSON.stringify(`dual-provider@file:${dual}`)}, "createDual"],
|
||||
[${JSON.stringify(`@fixture/scoped-provider@file:${scoped}`)}, "createScoped"],
|
||||
]) {
|
||||
const result = await Npm.add(spec)
|
||||
assert.ok(result.entrypoint?.startsWith("file://"), "entrypoint is a file URL: " + result.entrypoint)
|
||||
const mod = await import(result.entrypoint)
|
||||
assert.equal(typeof mod[name], "function", "module exports " + name)
|
||||
}
|
||||
process.exit(0)
|
||||
`,
|
||||
],
|
||||
{
|
||||
env: { ...process.env, XDG_CACHE_HOME: path.join(tmp.path, "cache") },
|
||||
stdout: "pipe",
|
||||
stderr: "pipe",
|
||||
},
|
||||
)
|
||||
const [stdout, stderr, code] = await Promise.all([
|
||||
new Response(proc.stdout).text(),
|
||||
new Response(proc.stderr).text(),
|
||||
proc.exited,
|
||||
])
|
||||
expect(stderr, stdout).toBe("")
|
||||
expect(code).toBe(0)
|
||||
}, 30_000)
|
||||
})
|
||||
|
||||
describe("Npm.install", () => {
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"name": "@opencode-ai/desktop",
|
||||
"private": true,
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
"homepage": "https://opencode.ai",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"name": "@opencode-ai/effect-drizzle-sqlite",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"name": "@opencode-ai/effect-sqlite-node",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@opencode-ai/enterprise",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@opencode-ai/function",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"name": "@opencode-ai/http-recorder",
|
||||
"description": "Record and replay Effect HTTP client traffic with deterministic cassettes",
|
||||
"type": "module",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"name": "@opencode-ai/llm",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"name": "opencode",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"name": "@opencode-ai/plugin",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
"scripts": {
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"name": "@opencode-ai/sdk",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
"scripts": {
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"name": "@opencode-ai/server",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@opencode-ai/session-ui",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@opencode-ai/slack",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
"scripts": {
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"name": "@opencode-ai/stats-app",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"name": "@opencode-ai/stats-core",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"name": "@opencode-ai/stats-server",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"$schema": "https://json.schemastore.org/package.json",
|
||||
"name": "@opencode-ai/tui",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@opencode-ai/ui",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
"repository": {
|
||||
|
||||
@@ -2,7 +2,7 @@
|
||||
"name": "@opencode-ai/web",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"scripts": {
|
||||
"dev": "astro dev",
|
||||
"dev:remote": "VITE_API_URL=https://api.opencode.ai astro dev",
|
||||
|
||||
@@ -60,8 +60,6 @@ OpenCode Go هو اشتراك منخفض التكلفة بقيمة **$10/شهر
|
||||
- **Kimi K2.7 Code**
|
||||
- **Kimi K2.6**
|
||||
- **LongCat-2.0**
|
||||
- **MiMo-V2.6-Flash**
|
||||
- **MiMo-V2.6-Pro**
|
||||
- **MiMo-V2.5**
|
||||
- **MiMo-V2.5-Pro**
|
||||
- **MiniMax M3**
|
||||
@@ -149,10 +147,8 @@ OpenCode Go هو اشتراك منخفض التكلفة بقيمة **$10/شهر
|
||||
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - | **$60** |
|
||||
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - | **$60** |
|
||||
| LongCat-2.0 | $0.30 | $1.20 | $0.006 | - | **$60** |
|
||||
| MiMo-V2.6-Flash | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo-V2.6-Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiMo-V2.5 | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo-V2.5-Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo V2.5 Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | **$60** |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | **$60** |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | **$60** |
|
||||
@@ -200,8 +196,6 @@ OpenCode Go هو اشتراك منخفض التكلفة بقيمة **$10/شهر
|
||||
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| LongCat-2.0 | 11,400 | 28,600 | 57,200 |
|
||||
| MiMo-V2.6-Flash | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.6-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
@@ -247,8 +241,6 @@ OpenCode Go هو اشتراك منخفض التكلفة بقيمة **$10/شهر
|
||||
- Qwen3.6 Plus — 500 input، و57,000 cached، و190 output tokens لكل طلب
|
||||
- Hy4 preview — 830 input، و71,500 cached، و295 output tokens لكل طلب
|
||||
- Hy3 — 830 input، و71,500 cached، و295 output tokens لكل طلب
|
||||
- MiMo-V2.6-Flash — 830 input، و71,500 cached، و295 output tokens لكل طلب
|
||||
- MiMo-V2.6-Pro — 790 input، و86,000 cached، و305 output tokens لكل طلب
|
||||
- MiMo-V2.5 — 830 input، و71,500 cached، و295 output tokens لكل طلب
|
||||
- MiMo-V2.5-Pro — 790 input، و86,000 cached، و305 output tokens لكل طلب
|
||||
|
||||
@@ -301,8 +293,6 @@ OpenCode Go هو اشتراك منخفض التكلفة بقيمة **$10/شهر
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash Vision Exp | deepseek-v4-flash-vision-exp | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Flash | mimo-v2.6-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Pro | mimo-v2.6-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -347,8 +337,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| Kimi K2.7 Code | غير مستخدَمة | 0 أيام |
|
||||
| Kimi K2.6 | غير مستخدَمة | 0 أيام |
|
||||
| LongCat-2.0 | غير مستخدَمة | 0 أيام |
|
||||
| MiMo-V2.6-Pro | غير مستخدَمة | 0 أيام |
|
||||
| MiMo-V2.6-Flash | غير مستخدَمة | 0 أيام |
|
||||
| MiMo-V2.5-Pro | غير مستخدَمة | 0 أيام |
|
||||
| MiMo-V2.5 | غير مستخدَمة | 0 أيام |
|
||||
| Qwen3.8 Max | غير مستخدَمة | 0 أيام |
|
||||
|
||||
@@ -124,7 +124,6 @@ OpenCode Zen هي بوابة AI تتيح لك الوصول إلى هذه الن
|
||||
| Jev 1.13 | jev-1.13 | `https://opencode.ai/zen/v1/systemone` | - |
|
||||
| Jev 1.13 Free | jev-1.13-free | `https://opencode.ai/zen/v1/systemone` | - |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Flash Free | mimo-v2.6-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Ling 3.0 Flash Fin Free | ling-3.0-flash-fin-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
@@ -206,7 +205,6 @@ curl https://opencode.ai/zen/v1/systemone \
|
||||
| النموذج | الإدخال | الإخراج | القراءة المخزنة | الكتابة المخزنة |
|
||||
| --------------------------------- | ------- | ------- | --------------- | --------------- |
|
||||
| Big Pickle | Free | Free | Free | - |
|
||||
| MiMo-V2.6-Flash Free | Free | Free | Free | - |
|
||||
| MiMo-V2.5 Free | Free | Free | Free | - |
|
||||
| Ling 3.0 Flash Fin Free | Free | Free | Free | - |
|
||||
| Nemotron 3 Ultra Free | Free | Free | Free | - |
|
||||
@@ -302,7 +300,6 @@ curl https://opencode.ai/zen/v1/systemone \
|
||||
|
||||
النماذج المجانية:
|
||||
|
||||
- MiMo-V2.6-Flash Free متاح على OpenCode لفترة محدودة. يستخدم الفريق هذه الفترة لجمع الملاحظات وتحسين النموذج.
|
||||
- MiMo-V2.5 Free متاح على OpenCode لفترة محدودة. يستخدم الفريق هذه الفترة لجمع الملاحظات وتحسين النموذج.
|
||||
- Ling 3.0 Flash Fin Free متاح على OpenCode لفترة محدودة. يستخدم الفريق هذه الفترة لجمع الملاحظات وتحسين النموذج.
|
||||
- Nemotron 3 Ultra Free متاح على OpenCode لفترة محدودة. يستخدم الفريق هذه الفترة لجمع الملاحظات وتحسين النموذج.
|
||||
@@ -361,7 +358,6 @@ curl https://opencode.ai/zen/v1/systemone \
|
||||
تتم استضافة جميع نماذجنا في الولايات المتحدة. يلتزم مزوّدونا بسياسة عدم الاحتفاظ بالبيانات ولا يستخدمون بياناتك لتدريب النماذج، مع الاستثناءات التالية:
|
||||
|
||||
- Big Pickle: خلال فترته المجانية، قد تُستخدم البيانات المجمعة لتحسين النموذج.
|
||||
- MiMo-V2.6-Flash Free: خلال فترته المجانية، قد تُستخدم البيانات المجمعة لتحسين النموذج.
|
||||
- MiMo-V2.5 Free: خلال فترته المجانية، قد تُستخدم البيانات المجمعة لتحسين النموذج.
|
||||
- Ling 3.0 Flash Fin Free: خلال فترته المجانية، قد تُستخدم البيانات المجمعة لتحسين النموذج.
|
||||
- Nemotron 3 Ultra Free (نقاط نهاية NVIDIA المجانية): للاستخدام التجريبي فقط — لا ترسل بيانات شخصية أو سرية. يُسجَّل استخدامك لأغراض أمنية ولتحسين منتجات وخدمات NVIDIA. بيانات الجلسة المُسجَّلة لأغراض التحسين غير مرتبطة بهويتك أو بأي مُعرِّف دائم. لمزيد من المعلومات حول ممارسات معالجة البيانات لدينا، راجع [سياسة الخصوصية](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). بتفاعلك مع نقطة النهاية هذه، فإنك توافق على جمعنا لهذه المعلومات وتسجيلها واستخدامها وعلى [شروط خدمة النسخة التجريبية من واجهة NVIDIA API](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf).
|
||||
|
||||
@@ -70,8 +70,6 @@ Trenutna lista modela uključuje:
|
||||
- **Kimi K2.7 Code**
|
||||
- **Kimi K2.6**
|
||||
- **LongCat-2.0**
|
||||
- **MiMo-V2.6-Flash**
|
||||
- **MiMo-V2.6-Pro**
|
||||
- **MiMo-V2.5**
|
||||
- **MiMo-V2.5-Pro**
|
||||
- **MiniMax M3**
|
||||
@@ -159,10 +157,8 @@ Cijene tokena navedene su za 1M tokena.
|
||||
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - | **$60** |
|
||||
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - | **$60** |
|
||||
| LongCat-2.0 | $0.30 | $1.20 | $0.006 | - | **$60** |
|
||||
| MiMo-V2.6-Flash | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo-V2.6-Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiMo-V2.5 | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo-V2.5-Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo V2.5 Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | **$60** |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | **$60** |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | **$60** |
|
||||
@@ -210,8 +206,6 @@ Tabela ispod daje procijenjeni broj zahtjeva na osnovu tipičnih obrazaca koriš
|
||||
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| LongCat-2.0 | 11,400 | 28,600 | 57,200 |
|
||||
| MiMo-V2.6-Flash | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.6-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
@@ -257,8 +251,6 @@ Procjene koriste sljedeći broj tokena po zahtjevu; stvarna potrošnja varira.
|
||||
- Qwen3.6 Plus — 500 ulaznih, 57,000 keširanih, 190 izlaznih tokena po zahtjevu
|
||||
- Hy4 preview — 830 ulaznih, 71,500 keširanih, 295 izlaznih tokena po zahtjevu
|
||||
- Hy3 — 830 ulaznih, 71,500 keširanih, 295 izlaznih tokena po zahtjevu
|
||||
- MiMo-V2.6-Flash — 830 ulaznih, 71,500 keširanih, 295 izlaznih tokena po zahtjevu
|
||||
- MiMo-V2.6-Pro — 790 ulaznih, 86,000 keširanih, 305 izlaznih tokena po zahtjevu
|
||||
- MiMo-V2.5 — 830 ulaznih, 71,500 keširanih, 295 izlaznih tokena po zahtjevu
|
||||
- MiMo-V2.5-Pro — 790 ulaznih, 86,000 keširanih, 305 izlaznih tokena po zahtjevu
|
||||
|
||||
@@ -313,8 +305,6 @@ Također možete pristupiti Go modelima putem sljedećih API endpointa.
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash Vision Exp | deepseek-v4-flash-vision-exp | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Flash | mimo-v2.6-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Pro | mimo-v2.6-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -361,8 +351,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| Kimi K2.7 Code | Ne koristi se | 0 dana |
|
||||
| Kimi K2.6 | Ne koristi se | 0 dana |
|
||||
| LongCat-2.0 | Ne koristi se | 0 dana |
|
||||
| MiMo-V2.6-Pro | Ne koristi se | 0 dana |
|
||||
| MiMo-V2.6-Flash | Ne koristi se | 0 dana |
|
||||
| MiMo-V2.5-Pro | Ne koristi se | 0 dana |
|
||||
| MiMo-V2.5 | Ne koristi se | 0 dana |
|
||||
| Qwen3.8 Max | Ne koristi se | 0 dana |
|
||||
|
||||
@@ -129,7 +129,6 @@ Našim modelima možete pristupiti i preko sljedećih API endpointa.
|
||||
| Jev 1.13 | jev-1.13 | `https://opencode.ai/zen/v1/systemone` | - |
|
||||
| Jev 1.13 Free | jev-1.13-free | `https://opencode.ai/zen/v1/systemone` | - |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Flash Free | mimo-v2.6-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Ling 3.0 Flash Fin Free | ling-3.0-flash-fin-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
@@ -213,7 +212,6 @@ Podržavamo pay-as-you-go model. Ispod su cijene **po 1M tokena**.
|
||||
| Model | Input | Output | Cached Read | Cached Write |
|
||||
| --------------------------------- | --------- | --------- | ----------- | ------------ |
|
||||
| Big Pickle | Free | Free | Free | - |
|
||||
| MiMo-V2.6-Flash Free | Free | Free | Free | - |
|
||||
| MiMo-V2.5 Free | Free | Free | Free | - |
|
||||
| Ling 3.0 Flash Fin Free | Free | Free | Free | - |
|
||||
| Nemotron 3 Ultra Free | Free | Free | Free | - |
|
||||
@@ -309,7 +307,6 @@ Naknade za kreditne kartice prosljeđujemo po stvarnom trošku (4.4% + $0.30 po
|
||||
|
||||
Besplatni modeli:
|
||||
|
||||
- MiMo-V2.6-Flash Free je dostupan na OpenCode ograničeno vrijeme. Tim koristi ovo vrijeme da prikupi povratne informacije i poboljša model.
|
||||
- MiMo-V2.5 Free je dostupan na OpenCode ograničeno vrijeme. Tim koristi ovo vrijeme da prikupi povratne informacije i poboljša model.
|
||||
- Ling 3.0 Flash Fin Free je dostupan na OpenCode ograničeno vrijeme. Tim koristi ovo vrijeme da prikupi povratne informacije i poboljša model.
|
||||
- Nemotron 3 Ultra Free je dostupan na OpenCode ograničeno vrijeme. Tim koristi ovo vrijeme da prikupi povratne informacije i poboljša model.
|
||||
@@ -373,7 +370,6 @@ Svi naši modeli su hostovani u US. Naši provajderi prate zero-retention politi
|
||||
i ne koriste vaše podatke za treniranje modela, uz sljedeće izuzetke:
|
||||
|
||||
- Big Pickle: Tokom besplatnog perioda, prikupljeni podaci mogu se koristiti za poboljšanje modela.
|
||||
- MiMo-V2.6-Flash Free: Tokom besplatnog perioda, prikupljeni podaci mogu se koristiti za poboljšanje modela.
|
||||
- MiMo-V2.5 Free: Tokom besplatnog perioda, prikupljeni podaci mogu se koristiti za poboljšanje modela.
|
||||
- Ling 3.0 Flash Fin Free: Tokom besplatnog perioda, prikupljeni podaci mogu se koristiti za poboljšanje modela.
|
||||
- Nemotron 3 Ultra Free (besplatni NVIDIA endpointi): Samo za probnu upotrebu — nemojte slati lične ili povjerljive podatke. Vaše korištenje se bilježi radi sigurnosti i poboljšanja NVIDIA proizvoda i usluga. Zabilježeni podaci sesije koji se koriste u svrhu poboljšanja nisu povezani s vašim identitetom niti bilo kojim trajnim identifikatorom. Za više informacija o našim praksama obrade podataka pogledajte našu [Politiku privatnosti](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Interakcijom s ovim endpointom pristajete na naše prikupljanje, bilježenje i korištenje takvih informacija te na [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf).
|
||||
|
||||
@@ -70,8 +70,6 @@ Den nuværende liste over modeller inkluderer:
|
||||
- **Kimi K2.7 Code**
|
||||
- **Kimi K2.6**
|
||||
- **LongCat-2.0**
|
||||
- **MiMo-V2.6-Flash**
|
||||
- **MiMo-V2.6-Pro**
|
||||
- **MiMo-V2.5**
|
||||
- **MiMo-V2.5-Pro**
|
||||
- **MiniMax M3**
|
||||
@@ -159,10 +157,8 @@ Tokenpriser er angivet pr. 1M tokens.
|
||||
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - | **$60** |
|
||||
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - | **$60** |
|
||||
| LongCat-2.0 | $0.30 | $1.20 | $0.006 | - | **$60** |
|
||||
| MiMo-V2.6-Flash | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo-V2.6-Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiMo-V2.5 | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo-V2.5-Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo V2.5 Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | **$60** |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | **$60** |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | **$60** |
|
||||
@@ -210,8 +206,6 @@ Tabellen nedenfor viser et estimeret antal anmodninger baseret på typiske Go-fo
|
||||
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| LongCat-2.0 | 11,400 | 28,600 | 57,200 |
|
||||
| MiMo-V2.6-Flash | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.6-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
@@ -257,8 +251,6 @@ Estimaterne bruger følgende antal tokens pr. anmodning; det faktiske forbrug va
|
||||
- Qwen3.6 Plus — 500 input, 57.000 cachelagrede, 190 output-tokens pr. anmodning
|
||||
- Hy4 preview — 830 input, 71.500 cachelagrede, 295 output-tokens pr. anmodning
|
||||
- Hy3 — 830 input, 71.500 cachelagrede, 295 output-tokens pr. anmodning
|
||||
- MiMo-V2.6-Flash — 830 input, 71.500 cachelagrede, 295 output-tokens pr. anmodning
|
||||
- MiMo-V2.6-Pro — 790 input, 86.000 cachelagrede, 305 output-tokens pr. anmodning
|
||||
- MiMo-V2.5 — 830 input, 71.500 cachelagrede, 295 output-tokens pr. anmodning
|
||||
- MiMo-V2.5-Pro — 790 input, 86.000 cachelagrede, 305 output-tokens pr. anmodning
|
||||
|
||||
@@ -313,8 +305,6 @@ Du kan også få adgang til Go-modeller gennem følgende API-endpoints.
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash Vision Exp | deepseek-v4-flash-vision-exp | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Flash | mimo-v2.6-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Pro | mimo-v2.6-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -361,8 +351,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| Kimi K2.7 Code | Ikke brugt | 0 dage |
|
||||
| Kimi K2.6 | Ikke brugt | 0 dage |
|
||||
| LongCat-2.0 | Ikke brugt | 0 dage |
|
||||
| MiMo-V2.6-Pro | Ikke brugt | 0 dage |
|
||||
| MiMo-V2.6-Flash | Ikke brugt | 0 dage |
|
||||
| MiMo-V2.5-Pro | Ikke brugt | 0 dage |
|
||||
| MiMo-V2.5 | Ikke brugt | 0 dage |
|
||||
| Qwen3.8 Max | Ikke brugt | 0 dage |
|
||||
|
||||
@@ -129,7 +129,6 @@ Du kan også få adgang til vores modeller gennem følgende API-endpoints.
|
||||
| Jev 1.13 | jev-1.13 | `https://opencode.ai/zen/v1/systemone` | - |
|
||||
| Jev 1.13 Free | jev-1.13-free | `https://opencode.ai/zen/v1/systemone` | - |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Flash Free | mimo-v2.6-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Ling 3.0 Flash Fin Free | ling-3.0-flash-fin-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
@@ -213,7 +212,6 @@ Vi understøtter en pay-as-you-go-model. Nedenfor er priserne **pr. 1M tokens**.
|
||||
| Model | Input | Output | Cached Read | Cached Write |
|
||||
| --------------------------------- | ------ | ------- | ----------- | ------------ |
|
||||
| Big Pickle | Free | Free | Free | - |
|
||||
| MiMo-V2.6-Flash Free | Free | Free | Free | - |
|
||||
| MiMo-V2.5 Free | Free | Free | Free | - |
|
||||
| Ling 3.0 Flash Fin Free | Free | Free | Free | - |
|
||||
| Nemotron 3 Ultra Free | Free | Free | Free | - |
|
||||
@@ -309,7 +307,6 @@ Kreditkortgebyrer videregives til kostpris (4.4% + $0.30 pr. transaktion); vi op
|
||||
|
||||
De gratis modeller:
|
||||
|
||||
- MiMo-V2.6-Flash Free er tilgængelig på OpenCode i en begrænset periode. Teamet bruger denne tid til at indsamle feedback og forbedre modellen.
|
||||
- MiMo-V2.5 Free er tilgængelig på OpenCode i en begrænset periode. Teamet bruger denne tid til at indsamle feedback og forbedre modellen.
|
||||
- Ling 3.0 Flash Fin Free er tilgængelig på OpenCode i en begrænset periode. Teamet bruger denne tid til at indsamle feedback og forbedre modellen.
|
||||
- Nemotron 3 Ultra Free er tilgængelig på OpenCode i en begrænset periode. Teamet bruger denne tid til at indsamle feedback og forbedre modellen.
|
||||
@@ -371,7 +368,6 @@ at opkræve dig mere end $20, hvis din saldo kommer under $5.
|
||||
Alle vores modeller hostes i US. Vores udbydere følger en nul-opbevaringspolitik og bruger ikke dine data til modeltræning, med følgende undtagelser:
|
||||
|
||||
- Big Pickle: I den gratis periode kan indsamlede data blive brugt til at forbedre modellen.
|
||||
- MiMo-V2.6-Flash Free: I den gratis periode kan indsamlede data blive brugt til at forbedre modellen.
|
||||
- MiMo-V2.5 Free: I den gratis periode kan indsamlede data blive brugt til at forbedre modellen.
|
||||
- Ling 3.0 Flash Fin Free: I den gratis periode kan indsamlede data blive brugt til at forbedre modellen.
|
||||
- Nemotron 3 Ultra Free (gratis NVIDIA-endpoints): Kun til prøvebrug — indsend ikke personlige eller fortrolige data. Din brug logges af sikkerhedshensyn og for at forbedre NVIDIAs produkter og tjenester. De loggede sessionsdata, der bruges til forbedringsformål, er ikke knyttet til din identitet eller nogen vedvarende identifikator. For mere information om vores databehandlingspraksis, se vores [privatlivspolitik](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Ved at interagere med dette endpoint giver du samtykke til vores indsamling, registrering og brug af sådanne oplysninger samt [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf).
|
||||
|
||||
@@ -62,8 +62,6 @@ Die aktuelle Liste der Modelle umfasst:
|
||||
- **Kimi K2.7 Code**
|
||||
- **Kimi K2.6**
|
||||
- **LongCat-2.0**
|
||||
- **MiMo-V2.6-Flash**
|
||||
- **MiMo-V2.6-Pro**
|
||||
- **MiMo-V2.5**
|
||||
- **MiMo-V2.5-Pro**
|
||||
- **MiniMax M3**
|
||||
@@ -151,10 +149,8 @@ Tokenpreise gelten pro 1M Tokens.
|
||||
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - | **$60** |
|
||||
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - | **$60** |
|
||||
| LongCat-2.0 | $0.30 | $1.20 | $0.006 | - | **$60** |
|
||||
| MiMo-V2.6-Flash | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo-V2.6-Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiMo-V2.5 | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo-V2.5-Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo V2.5 Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | **$60** |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | **$60** |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | **$60** |
|
||||
@@ -202,8 +198,6 @@ Die folgende Tabelle enthält eine geschätzte Anzahl von Anfragen basierend auf
|
||||
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| LongCat-2.0 | 11,400 | 28,600 | 57,200 |
|
||||
| MiMo-V2.6-Flash | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.6-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
@@ -249,8 +243,6 @@ Die Schätzungen verwenden die folgenden Token-Anzahlen pro Anfrage; die tatsäc
|
||||
- Qwen3.6 Plus — 500 Input-, 57.000 Cached-, 190 Output-Tokens pro Anfrage
|
||||
- Hy4 preview — 830 Input-, 71.500 Cached-, 295 Output-Tokens pro Anfrage
|
||||
- Hy3 — 830 Input-, 71.500 Cached-, 295 Output-Tokens pro Anfrage
|
||||
- MiMo-V2.6-Flash — 830 Input-, 71.500 Cached-, 295 Output-Tokens pro Anfrage
|
||||
- MiMo-V2.6-Pro — 790 Input-, 86.000 Cached-, 305 Output-Tokens pro Anfrage
|
||||
- MiMo-V2.5 — 830 Input-, 71.500 Cached-, 295 Output-Tokens pro Anfrage
|
||||
- MiMo-V2.5-Pro — 790 Input-, 86.000 Cached-, 305 Output-Tokens pro Anfrage
|
||||
|
||||
@@ -303,8 +295,6 @@ Du kannst auf die Go-Modelle auch über die folgenden API-Endpunkte zugreifen.
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash Vision Exp | deepseek-v4-flash-vision-exp | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Flash | mimo-v2.6-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Pro | mimo-v2.6-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -349,8 +339,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| Kimi K2.7 Code | Nicht verwendet | 0 Tage |
|
||||
| Kimi K2.6 | Nicht verwendet | 0 Tage |
|
||||
| LongCat-2.0 | Nicht verwendet | 0 Tage |
|
||||
| MiMo-V2.6-Pro | Nicht verwendet | 0 Tage |
|
||||
| MiMo-V2.6-Flash | Nicht verwendet | 0 Tage |
|
||||
| MiMo-V2.5-Pro | Nicht verwendet | 0 Tage |
|
||||
| MiMo-V2.5 | Nicht verwendet | 0 Tage |
|
||||
| Qwen3.8 Max | Nicht verwendet | 0 Tage |
|
||||
|
||||
@@ -120,7 +120,6 @@ Du kannst auch über die folgenden API-Endpunkte auf unsere Modelle zugreifen.
|
||||
| Jev 1.13 | jev-1.13 | `https://opencode.ai/zen/v1/systemone` | - |
|
||||
| Jev 1.13 Free | jev-1.13-free | `https://opencode.ai/zen/v1/systemone` | - |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Flash Free | mimo-v2.6-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Ling 3.0 Flash Fin Free | ling-3.0-flash-fin-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
@@ -202,7 +201,6 @@ Wir unterstützen ein Pay-as-you-go-Modell. Unten findest du die Preise **pro 1M
|
||||
| Model | Input | Output | Cached Read | Cached Write |
|
||||
| --------------------------------- | --------- | --------- | ----------- | ------------ |
|
||||
| Big Pickle | Free | Free | Free | - |
|
||||
| MiMo-V2.6-Flash Free | Free | Free | Free | - |
|
||||
| MiMo-V2.5 Free | Free | Free | Free | - |
|
||||
| Ling 3.0 Flash Fin Free | Free | Free | Free | - |
|
||||
| Nemotron 3 Ultra Free | Free | Free | Free | - |
|
||||
@@ -298,7 +296,6 @@ Kreditkartengebühren werden zum Selbstkostenpreis weitergegeben (4.4% + $0.30 p
|
||||
|
||||
Die kostenlosen Modelle:
|
||||
|
||||
- MiMo-V2.6-Flash Free ist für begrenzte Zeit auf OpenCode verfügbar. Das Team nutzt diese Zeit, um Feedback zu sammeln und das Modell zu verbessern.
|
||||
- MiMo-V2.5 Free ist für begrenzte Zeit auf OpenCode verfügbar. Das Team nutzt diese Zeit, um Feedback zu sammeln und das Modell zu verbessern.
|
||||
- Ling 3.0 Flash Fin Free ist für begrenzte Zeit auf OpenCode verfügbar. Das Team nutzt diese Zeit, um Feedback zu sammeln und das Modell zu verbessern.
|
||||
- Nemotron 3 Ultra Free ist für begrenzte Zeit auf OpenCode verfügbar. Das Team nutzt diese Zeit, um Feedback zu sammeln und das Modell zu verbessern.
|
||||
@@ -357,7 +354,6 @@ Angenommen, du setzt ein monatliches Nutzungslimit von $20, dann wird Zen in ein
|
||||
Alle unsere Modelle werden in den USA gehostet. Unsere Provider folgen einer Zero-Retention-Richtlinie und verwenden deine Daten nicht zum Trainieren von Modellen, mit den folgenden Ausnahmen:
|
||||
|
||||
- Big Pickle: Während des kostenlosen Zeitraums können gesammelte Daten zur Verbesserung des Modells verwendet werden.
|
||||
- MiMo-V2.6-Flash Free: Während des kostenlosen Zeitraums können gesammelte Daten zur Verbesserung des Modells verwendet werden.
|
||||
- MiMo-V2.5 Free: Während des kostenlosen Zeitraums können gesammelte Daten zur Verbesserung des Modells verwendet werden.
|
||||
- Ling 3.0 Flash Fin Free: Während des kostenlosen Zeitraums können gesammelte Daten zur Verbesserung des Modells verwendet werden.
|
||||
- Nemotron 3 Ultra Free (kostenlose NVIDIA-Endpunkte): Nur für Testzwecke — übermitteln Sie keine personenbezogenen oder vertraulichen Daten. Ihre Nutzung wird zu Sicherheitszwecken und zur Verbesserung der Produkte und Dienste von NVIDIA protokolliert. Die zu Verbesserungszwecken protokollierten Sitzungsdaten sind nicht mit Ihrer Identität oder einem dauerhaften Identifikator verknüpft. Weitere Informationen zu unseren Datenverarbeitungspraktiken finden Sie in unserer [Datenschutzrichtlinie](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Durch die Interaktion mit diesem Endpunkt stimmen Sie unserer Erhebung, Aufzeichnung und Nutzung solcher Informationen sowie den [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf) zu.
|
||||
|
||||
@@ -70,8 +70,6 @@ La lista actual de modelos incluye:
|
||||
- **Kimi K2.7 Code**
|
||||
- **Kimi K2.6**
|
||||
- **LongCat-2.0**
|
||||
- **MiMo-V2.6-Flash**
|
||||
- **MiMo-V2.6-Pro**
|
||||
- **MiMo-V2.5**
|
||||
- **MiMo-V2.5-Pro**
|
||||
- **MiniMax M3**
|
||||
@@ -159,10 +157,8 @@ Los precios de tokens se indican por 1M tokens.
|
||||
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - | **$60** |
|
||||
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - | **$60** |
|
||||
| LongCat-2.0 | $0.30 | $1.20 | $0.006 | - | **$60** |
|
||||
| MiMo-V2.6-Flash | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo-V2.6-Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiMo-V2.5 | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo-V2.5-Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo V2.5 Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | **$60** |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | **$60** |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | **$60** |
|
||||
@@ -210,8 +206,6 @@ La siguiente tabla ofrece una cantidad estimada de peticiones basada en los patr
|
||||
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| LongCat-2.0 | 11,400 | 28,600 | 57,200 |
|
||||
| MiMo-V2.6-Flash | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.6-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
@@ -257,8 +251,6 @@ Las estimaciones usan las siguientes cantidades de tokens por petición; el uso
|
||||
- Qwen3.6 Plus — 500 tokens de entrada, 57,000 en caché, 190 tokens de salida por petición
|
||||
- Hy4 preview — 830 tokens de entrada, 71,500 en caché, 295 tokens de salida por petición
|
||||
- Hy3 — 830 tokens de entrada, 71,500 en caché, 295 tokens de salida por petición
|
||||
- MiMo-V2.6-Flash — 830 tokens de entrada, 71,500 en caché, 295 tokens de salida por petición
|
||||
- MiMo-V2.6-Pro — 790 tokens de entrada, 86,000 en caché, 305 tokens de salida por petición
|
||||
- MiMo-V2.5 — 830 tokens de entrada, 71,500 en caché, 295 tokens de salida por petición
|
||||
- MiMo-V2.5-Pro — 790 tokens de entrada, 86,000 en caché, 305 tokens de salida por petición
|
||||
|
||||
@@ -313,8 +305,6 @@ También puedes acceder a los modelos de Go a través de los siguientes endpoint
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash Vision Exp | deepseek-v4-flash-vision-exp | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Flash | mimo-v2.6-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Pro | mimo-v2.6-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -361,8 +351,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| Kimi K2.7 Code | No utilizado | 0 días |
|
||||
| Kimi K2.6 | No utilizado | 0 días |
|
||||
| LongCat-2.0 | No utilizado | 0 días |
|
||||
| MiMo-V2.6-Pro | No utilizado | 0 días |
|
||||
| MiMo-V2.6-Flash | No utilizado | 0 días |
|
||||
| MiMo-V2.5-Pro | No utilizado | 0 días |
|
||||
| MiMo-V2.5 | No utilizado | 0 días |
|
||||
| Qwen3.8 Max | No utilizado | 0 días |
|
||||
|
||||
@@ -129,7 +129,6 @@ También puedes acceder a nuestros modelos a través de los siguientes endpoints
|
||||
| Jev 1.13 | jev-1.13 | `https://opencode.ai/zen/v1/systemone` | - |
|
||||
| Jev 1.13 Free | jev-1.13-free | `https://opencode.ai/zen/v1/systemone` | - |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Flash Free | mimo-v2.6-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Ling 3.0 Flash Fin Free | ling-3.0-flash-fin-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
@@ -213,7 +212,6 @@ Admitimos un modelo de pago por uso. A continuación se muestran los precios **p
|
||||
| Modelo | Entrada | Salida | Lectura en caché | Escritura en caché |
|
||||
| --------------------------------- | ------- | ------- | ---------------- | ------------------ |
|
||||
| Big Pickle | Free | Free | Free | - |
|
||||
| MiMo-V2.6-Flash Free | Free | Free | Free | - |
|
||||
| MiMo-V2.5 Free | Free | Free | Free | - |
|
||||
| Ling 3.0 Flash Fin Free | Free | Free | Free | - |
|
||||
| Nemotron 3 Ultra Free | Free | Free | Free | - |
|
||||
@@ -309,7 +307,6 @@ Las comisiones de tarjeta de crédito se trasladan al costo (4.4% + $0.30 por tr
|
||||
|
||||
Los modelos gratuitos:
|
||||
|
||||
- MiMo-V2.6-Flash Free está disponible en OpenCode por tiempo limitado. El equipo está usando este tiempo para recopilar comentarios y mejorar el modelo.
|
||||
- MiMo-V2.5 Free está disponible en OpenCode por tiempo limitado. El equipo está usando este tiempo para recopilar comentarios y mejorar el modelo.
|
||||
- Ling 3.0 Flash Fin Free está disponible en OpenCode por tiempo limitado. El equipo está usando este tiempo para recopilar comentarios y mejorar el modelo.
|
||||
- Nemotron 3 Ultra Free está disponible en OpenCode por tiempo limitado. El equipo está usando este tiempo para recopilar comentarios y mejorar el modelo.
|
||||
@@ -371,7 +368,6 @@ cobrándote más de $20 si tu saldo baja de $5.
|
||||
Todos nuestros modelos están alojados en US. Nuestros proveedores siguen una política de zero-retention y no usan tus datos para el entrenamiento de modelos, con las siguientes excepciones:
|
||||
|
||||
- Big Pickle: Durante su período gratuito, los datos recopilados pueden usarse para mejorar el modelo.
|
||||
- MiMo-V2.6-Flash Free: Durante su período gratuito, los datos recopilados pueden usarse para mejorar el modelo.
|
||||
- MiMo-V2.5 Free: Durante su período gratuito, los datos recopilados pueden usarse para mejorar el modelo.
|
||||
- Ling 3.0 Flash Fin Free: Durante su período gratuito, los datos recopilados pueden usarse para mejorar el modelo.
|
||||
- Nemotron 3 Ultra Free (endpoints gratuitos de NVIDIA): Solo para uso de prueba — no envíes datos personales ni confidenciales. Tu uso se registra con fines de seguridad y para mejorar los productos y servicios de NVIDIA. Los datos de sesión registrados con fines de mejora no están vinculados a tu identidad ni a ningún identificador persistente. Para obtener más información sobre nuestras prácticas de procesamiento de datos, consulta nuestra [Política de privacidad](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Al interactuar con este endpoint, aceptas que recopilemos, registremos y usemos dicha información, así como los [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf).
|
||||
|
||||
@@ -60,8 +60,6 @@ La liste actuelle des modèles comprend :
|
||||
- **Kimi K2.7 Code**
|
||||
- **Kimi K2.6**
|
||||
- **LongCat-2.0**
|
||||
- **MiMo-V2.6-Flash**
|
||||
- **MiMo-V2.6-Pro**
|
||||
- **MiMo-V2.5**
|
||||
- **MiMo-V2.5-Pro**
|
||||
- **MiniMax M3**
|
||||
@@ -149,10 +147,8 @@ Les prix des tokens sont indiqués par million de tokens.
|
||||
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - | **$60** |
|
||||
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - | **$60** |
|
||||
| LongCat-2.0 | $0.30 | $1.20 | $0.006 | - | **$60** |
|
||||
| MiMo-V2.6-Flash | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo-V2.6-Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiMo-V2.5 | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo-V2.5-Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo V2.5 Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | **$60** |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | **$60** |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | **$60** |
|
||||
@@ -200,8 +196,6 @@ Le tableau ci-dessous fournit une estimation du nombre de requêtes basée sur l
|
||||
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| LongCat-2.0 | 11,400 | 28,600 | 57,200 |
|
||||
| MiMo-V2.6-Flash | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.6-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
@@ -247,8 +241,6 @@ Les estimations utilisent les nombres de tokens suivants par requête ; l'utilis
|
||||
- Qwen3.6 Plus — 500 tokens en entrée, 57,000 en cache, 190 tokens en sortie par requête
|
||||
- Hy4 preview — 830 tokens en entrée, 71,500 en cache, 295 tokens en sortie par requête
|
||||
- Hy3 — 830 tokens en entrée, 71,500 en cache, 295 tokens en sortie par requête
|
||||
- MiMo-V2.6-Flash — 830 tokens en entrée, 71,500 en cache, 295 tokens en sortie par requête
|
||||
- MiMo-V2.6-Pro — 790 tokens en entrée, 86,000 en cache, 305 tokens en sortie par requête
|
||||
- MiMo-V2.5 — 830 tokens en entrée, 71,500 en cache, 295 tokens en sortie par requête
|
||||
- MiMo-V2.5-Pro — 790 tokens en entrée, 86,000 en cache, 305 tokens en sortie par requête
|
||||
|
||||
@@ -301,8 +293,6 @@ Vous pouvez également accéder aux modèles Go via les points de terminaison d'
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash Vision Exp | deepseek-v4-flash-vision-exp | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Flash | mimo-v2.6-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Pro | mimo-v2.6-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -347,8 +337,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| Kimi K2.7 Code | Non utilisé | 0 jour |
|
||||
| Kimi K2.6 | Non utilisé | 0 jour |
|
||||
| LongCat-2.0 | Non utilisé | 0 jour |
|
||||
| MiMo-V2.6-Pro | Non utilisé | 0 jour |
|
||||
| MiMo-V2.6-Flash | Non utilisé | 0 jour |
|
||||
| MiMo-V2.5-Pro | Non utilisé | 0 jour |
|
||||
| MiMo-V2.5 | Non utilisé | 0 jour |
|
||||
| Qwen3.8 Max | Non utilisé | 0 jour |
|
||||
|
||||
@@ -120,7 +120,6 @@ Vous pouvez également accéder à nos modèles via les points de terminaison AP
|
||||
| Jev 1.13 | jev-1.13 | `https://opencode.ai/zen/v1/systemone` | - |
|
||||
| Jev 1.13 Free | jev-1.13-free | `https://opencode.ai/zen/v1/systemone` | - |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Flash Free | mimo-v2.6-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Ling 3.0 Flash Fin Free | ling-3.0-flash-fin-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
@@ -202,7 +201,6 @@ Nous prenons en charge un modèle de paiement à l'utilisation. Vous trouverez c
|
||||
| Modèle | Input | Output | Cached Read | Cached Write |
|
||||
| --------------------------------- | ------- | ------- | ----------- | ------------ |
|
||||
| Big Pickle | Free | Free | Free | - |
|
||||
| MiMo-V2.6-Flash Free | Free | Free | Free | - |
|
||||
| MiMo-V2.5 Free | Free | Free | Free | - |
|
||||
| Ling 3.0 Flash Fin Free | Free | Free | Free | - |
|
||||
| Nemotron 3 Ultra Free | Free | Free | Free | - |
|
||||
@@ -298,7 +296,6 @@ Les frais de carte de crédit sont répercutés au prix coûtant (4.4% + $0.30 p
|
||||
|
||||
Les modèles gratuits :
|
||||
|
||||
- MiMo-V2.6-Flash Free est disponible sur OpenCode pour une durée limitée. L'équipe utilise cette période pour recueillir des retours et améliorer le modèle.
|
||||
- MiMo-V2.5 Free est disponible sur OpenCode pour une durée limitée. L'équipe utilise cette période pour recueillir des retours et améliorer le modèle.
|
||||
- Ling 3.0 Flash Fin Free est disponible sur OpenCode pour une durée limitée. L'équipe utilise cette période pour recueillir des retours et améliorer le modèle.
|
||||
- Nemotron 3 Ultra Free est disponible sur OpenCode pour une durée limitée. L'équipe utilise cette période pour recueillir des retours et améliorer le modèle.
|
||||
@@ -357,7 +354,6 @@ Par exemple, si vous définissez une limite d'utilisation mensuelle à $20, Zen
|
||||
Tous nos modèles sont hébergés aux US. Nos fournisseurs suivent une politique de rétention zéro et n'utilisent pas vos données pour l'entraînement des modèles, avec les exceptions suivantes :
|
||||
|
||||
- Big Pickle : Pendant sa période gratuite, les données collectées peuvent être utilisées pour améliorer le modèle.
|
||||
- MiMo-V2.6-Flash Free : Pendant sa période gratuite, les données collectées peuvent être utilisées pour améliorer le modèle.
|
||||
- MiMo-V2.5 Free : Pendant sa période gratuite, les données collectées peuvent être utilisées pour améliorer le modèle.
|
||||
- Ling 3.0 Flash Fin Free : Pendant sa période gratuite, les données collectées peuvent être utilisées pour améliorer le modèle.
|
||||
- Nemotron 3 Ultra Free (endpoints NVIDIA gratuits) : Réservé à un usage d'essai — n'envoyez pas de données personnelles ou confidentielles. Votre utilisation est journalisée à des fins de sécurité et pour améliorer les produits et services de NVIDIA. Les données de session journalisées à des fins d'amélioration ne sont pas liées à votre identité ni à un quelconque identifiant persistant. Pour plus d'informations sur nos pratiques de traitement des données, consultez notre [Politique de confidentialité](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). En interagissant avec cet endpoint, vous consentez à notre collecte, à notre enregistrement et à notre utilisation de ces informations ainsi qu'aux [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf).
|
||||
|
||||
@@ -70,8 +70,6 @@ The current list of models includes:
|
||||
- **Kimi K2.7 Code**
|
||||
- **Kimi K2.6**
|
||||
- **LongCat-2.0**
|
||||
- **MiMo-V2.6-Flash**
|
||||
- **MiMo-V2.6-Pro**
|
||||
- **MiMo-V2.5**
|
||||
- **MiMo-V2.5-Pro**
|
||||
- **MiniMax M3**
|
||||
@@ -161,10 +159,8 @@ Token prices are per 1M tokens.
|
||||
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - | **$60** |
|
||||
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - | **$60** |
|
||||
| LongCat-2.0 | $0.30 | $1.20 | $0.006 | - | **$60** |
|
||||
| MiMo-V2.6-Flash | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo-V2.6-Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiMo-V2.5 | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo-V2.5-Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo V2.5 Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | **$60** |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | **$60** |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | **$60** |
|
||||
@@ -212,8 +208,6 @@ The table below provides an estimated request count based on typical Go usage pa
|
||||
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| LongCat-2.0 | 11,400 | 28,600 | 57,200 |
|
||||
| MiMo-V2.6-Flash | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.6-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
@@ -252,8 +246,6 @@ The estimates use the following token counts per request; actual usage varies.
|
||||
- MiniMax M2.7 — 300 input, 55,000 cached, 125 output tokens per request
|
||||
- Muse Spark 1.3 Contributor — 620 input, 71,400 cached, 300 output tokens per request
|
||||
- Muse Spark 1.2 Contributor — 620 input, 71,400 cached, 300 output tokens per request
|
||||
- MiMo-V2.6-Flash — 830 input, 71,500 cached, 295 output tokens per request
|
||||
- MiMo-V2.6-Pro — 790 input, 86,000 cached, 305 output tokens per request
|
||||
- MiMo-V2.5 — 830 input, 71,500 cached, 295 output tokens per request
|
||||
- MiMo-V2.5-Pro — 790 input, 86,000 cached, 305 output tokens per request
|
||||
- Qwen3.8 Max — 420 input, 66,000 cached, 200 output tokens per request
|
||||
@@ -315,8 +307,6 @@ You can also access Go models through the following API endpoints.
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash Vision Exp | deepseek-v4-flash-vision-exp | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Flash | mimo-v2.6-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Pro | mimo-v2.6-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -363,8 +353,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| Kimi K2.7 Code | Not used | 0 days |
|
||||
| Kimi K2.6 | Not used | 0 days |
|
||||
| LongCat-2.0 | Not used | 0 days |
|
||||
| MiMo-V2.6-Pro | Not used | 0 days |
|
||||
| MiMo-V2.6-Flash | Not used | 0 days |
|
||||
| MiMo-V2.5-Pro | Not used | 0 days |
|
||||
| MiMo-V2.5 | Not used | 0 days |
|
||||
| Qwen3.8 Max | Not used | 0 days |
|
||||
|
||||
@@ -68,8 +68,6 @@ L'elenco attuale dei modelli include:
|
||||
- **Kimi K2.7 Code**
|
||||
- **Kimi K2.6**
|
||||
- **LongCat-2.0**
|
||||
- **MiMo-V2.6-Flash**
|
||||
- **MiMo-V2.6-Pro**
|
||||
- **MiMo-V2.5**
|
||||
- **MiMo-V2.5-Pro**
|
||||
- **MiniMax M3**
|
||||
@@ -157,10 +155,8 @@ I prezzi dei token sono indicati per 1M token.
|
||||
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - | **$60** |
|
||||
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - | **$60** |
|
||||
| LongCat-2.0 | $0.30 | $1.20 | $0.006 | - | **$60** |
|
||||
| MiMo-V2.6-Flash | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo-V2.6-Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiMo-V2.5 | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo-V2.5-Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo V2.5 Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | **$60** |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | **$60** |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | **$60** |
|
||||
@@ -208,8 +204,6 @@ La tabella seguente fornisce una stima del numero di richieste basata su pattern
|
||||
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| LongCat-2.0 | 11,400 | 28,600 | 57,200 |
|
||||
| MiMo-V2.6-Flash | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.6-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
@@ -255,8 +249,6 @@ Le stime utilizzano i seguenti conteggi di token per richiesta; l'utilizzo effet
|
||||
- Qwen3.6 Plus — 500 di input, 57.000 in cache, 190 token di output per richiesta
|
||||
- Hy4 preview — 830 di input, 71.500 in cache, 295 token di output per richiesta
|
||||
- Hy3 — 830 di input, 71.500 in cache, 295 token di output per richiesta
|
||||
- MiMo-V2.6-Flash — 830 di input, 71.500 in cache, 295 token di output per richiesta
|
||||
- MiMo-V2.6-Pro — 790 di input, 86.000 in cache, 305 token di output per richiesta
|
||||
- MiMo-V2.5 — 830 di input, 71.500 in cache, 295 token di output per richiesta
|
||||
- MiMo-V2.5-Pro — 790 di input, 86.000 in cache, 305 token di output per richiesta
|
||||
|
||||
@@ -311,8 +303,6 @@ Puoi anche accedere ai modelli Go tramite i seguenti endpoint API.
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash Vision Exp | deepseek-v4-flash-vision-exp | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Flash | mimo-v2.6-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Pro | mimo-v2.6-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -359,8 +349,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| Kimi K2.7 Code | Non utilizzato | 0 giorni |
|
||||
| Kimi K2.6 | Non utilizzato | 0 giorni |
|
||||
| LongCat-2.0 | Non utilizzato | 0 giorni |
|
||||
| MiMo-V2.6-Pro | Non utilizzato | 0 giorni |
|
||||
| MiMo-V2.6-Flash | Non utilizzato | 0 giorni |
|
||||
| MiMo-V2.5-Pro | Non utilizzato | 0 giorni |
|
||||
| MiMo-V2.5 | Non utilizzato | 0 giorni |
|
||||
| Qwen3.8 Max | Non utilizzato | 0 giorni |
|
||||
|
||||
@@ -129,7 +129,6 @@ Puoi anche accedere ai nostri modelli tramite i seguenti endpoint API.
|
||||
| Jev 1.13 | jev-1.13 | `https://opencode.ai/zen/v1/systemone` | - |
|
||||
| Jev 1.13 Free | jev-1.13-free | `https://opencode.ai/zen/v1/systemone` | - |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Flash Free | mimo-v2.6-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Ling 3.0 Flash Fin Free | ling-3.0-flash-fin-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
@@ -213,7 +212,6 @@ Supportiamo un modello pay-as-you-go. Qui sotto trovi i prezzi **per 1M token**.
|
||||
| Modello | Input | Output | Cached Read | Cached Write |
|
||||
| --------------------------------- | ------ | ------- | ----------- | ------------ |
|
||||
| Big Pickle | Free | Free | Free | - |
|
||||
| MiMo-V2.6-Flash Free | Free | Free | Free | - |
|
||||
| MiMo-V2.5 Free | Free | Free | Free | - |
|
||||
| Ling 3.0 Flash Fin Free | Free | Free | Free | - |
|
||||
| Nemotron 3 Ultra Free | Free | Free | Free | - |
|
||||
@@ -309,7 +307,6 @@ Le commissioni della carta di credito vengono trasferite al costo (4.4% + $0.30
|
||||
|
||||
I modelli gratuiti:
|
||||
|
||||
- MiMo-V2.6-Flash Free è disponibile su OpenCode per un periodo limitato. Il team usa questo periodo per raccogliere feedback e migliorare il modello.
|
||||
- MiMo-V2.5 Free è disponibile su OpenCode per un periodo limitato. Il team usa questo periodo per raccogliere feedback e migliorare il modello.
|
||||
- Ling 3.0 Flash Fin Free è disponibile su OpenCode per un periodo limitato. Il team usa questo periodo per raccogliere feedback e migliorare il modello.
|
||||
- Nemotron 3 Ultra Free è disponibile su OpenCode per un periodo limitato. Il team usa questo periodo per raccogliere feedback e migliorare il modello.
|
||||
@@ -371,7 +368,6 @@ per addebitarti più di $20 se il tuo saldo scende sotto $5.
|
||||
Tutti i nostri modelli sono ospitati negli US. I nostri provider seguono una policy di zero-retention e non usano i tuoi dati per l'addestramento dei modelli, con le seguenti eccezioni:
|
||||
|
||||
- Big Pickle: durante il periodo gratuito, i dati raccolti possono essere usati per migliorare il modello.
|
||||
- MiMo-V2.6-Flash Free: durante il periodo gratuito, i dati raccolti possono essere usati per migliorare il modello.
|
||||
- MiMo-V2.5 Free: durante il periodo gratuito, i dati raccolti possono essere usati per migliorare il modello.
|
||||
- Ling 3.0 Flash Fin Free: durante il periodo gratuito, i dati raccolti possono essere usati per migliorare il modello.
|
||||
- Nemotron 3 Ultra Free (endpoint NVIDIA gratuiti): solo per uso di prova — non inviare dati personali o riservati. Il tuo utilizzo viene registrato per finalità di sicurezza e per migliorare i prodotti e i servizi di NVIDIA. I dati di sessione registrati a fini di miglioramento non sono collegati alla tua identità né ad alcun identificatore persistente. Per maggiori informazioni sulle nostre pratiche di trattamento dei dati, consulta la nostra [Informativa sulla privacy](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Interagendo con questo endpoint, acconsenti alla nostra raccolta, registrazione e utilizzo di tali informazioni e ai [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf).
|
||||
|
||||
@@ -60,8 +60,6 @@ OpenCode Goをサブスクライブできるのは、1つのワークスペー
|
||||
- **Kimi K2.7 Code**
|
||||
- **Kimi K2.6**
|
||||
- **LongCat-2.0**
|
||||
- **MiMo-V2.6-Flash**
|
||||
- **MiMo-V2.6-Pro**
|
||||
- **MiMo-V2.5**
|
||||
- **MiMo-V2.5-Pro**
|
||||
- **MiniMax M3**
|
||||
@@ -146,10 +144,8 @@ OpenCodeに加えて、以下のクライアントがOpenCode Goで正常に動
|
||||
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - | **$60** |
|
||||
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - | **$60** |
|
||||
| LongCat-2.0 | $0.30 | $1.20 | $0.006 | - | **$60** |
|
||||
| MiMo-V2.6-Flash | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo-V2.6-Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiMo-V2.5 | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo-V2.5-Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo V2.5 Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | **$60** |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | **$60** |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | **$60** |
|
||||
@@ -197,8 +193,6 @@ OpenCodeに加えて、以下のクライアントがOpenCode Goで正常に動
|
||||
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| LongCat-2.0 | 11,400 | 28,600 | 57,200 |
|
||||
| MiMo-V2.6-Flash | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.6-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
@@ -244,8 +238,6 @@ OpenCodeに加えて、以下のクライアントがOpenCode Goで正常に動
|
||||
- Qwen3.6 Plus — リクエストあたり 入力 500トークン、キャッシュ 57,000トークン、出力 190トークン
|
||||
- Hy4 preview — リクエストあたり 入力 830トークン、キャッシュ 71,500トークン、出力 295トークン
|
||||
- Hy3 — リクエストあたり 入力 830トークン、キャッシュ 71,500トークン、出力 295トークン
|
||||
- MiMo-V2.6-Flash — リクエストあたり 入力 830トークン、キャッシュ 71,500トークン、出力 295トークン
|
||||
- MiMo-V2.6-Pro — リクエストあたり 入力 790トークン、キャッシュ 86,000トークン、出力 305トークン
|
||||
- MiMo-V2.5 — リクエストあたり 入力 830トークン、キャッシュ 71,500トークン、出力 295トークン
|
||||
- MiMo-V2.5-Pro — リクエストあたり 入力 790トークン、キャッシュ 86,000トークン、出力 305トークン
|
||||
|
||||
@@ -298,8 +290,6 @@ Goでは月額$10を支払い、含まれる月間利用枠はモデルによっ
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash Vision Exp | deepseek-v4-flash-vision-exp | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Flash | mimo-v2.6-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Pro | mimo-v2.6-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -344,8 +334,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| Kimi K2.7 Code | 使用なし | 0日 |
|
||||
| Kimi K2.6 | 使用なし | 0日 |
|
||||
| LongCat-2.0 | 使用なし | 0日 |
|
||||
| MiMo-V2.6-Pro | 使用なし | 0日 |
|
||||
| MiMo-V2.6-Flash | 使用なし | 0日 |
|
||||
| MiMo-V2.5-Pro | 使用なし | 0日 |
|
||||
| MiMo-V2.5 | 使用なし | 0日 |
|
||||
| Qwen3.8 Max | 使用なし | 0日 |
|
||||
|
||||
@@ -120,7 +120,6 @@ OpenCode Zen は、OpenCode のほかのプロバイダーと同じように動
|
||||
| Jev 1.13 | jev-1.13 | `https://opencode.ai/zen/v1/systemone` | - |
|
||||
| Jev 1.13 Free | jev-1.13-free | `https://opencode.ai/zen/v1/systemone` | - |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Flash Free | mimo-v2.6-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Ling 3.0 Flash Fin Free | ling-3.0-flash-fin-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
@@ -202,7 +201,6 @@ curl https://opencode.ai/zen/v1/systemone \
|
||||
| Model | Input | Output | Cached Read | Cached Write |
|
||||
| --------------------------------- | ------ | ------- | ----------- | ------------ |
|
||||
| Big Pickle | Free | Free | Free | - |
|
||||
| MiMo-V2.6-Flash Free | Free | Free | Free | - |
|
||||
| MiMo-V2.5 Free | Free | Free | Free | - |
|
||||
| Ling 3.0 Flash Fin Free | Free | Free | Free | - |
|
||||
| Nemotron 3 Ultra Free | Free | Free | Free | - |
|
||||
@@ -298,7 +296,6 @@ curl https://opencode.ai/zen/v1/systemone \
|
||||
|
||||
無料モデル:
|
||||
|
||||
- MiMo-V2.6-Flash Free は期間限定で OpenCode で利用できます。チームはこの期間中にフィードバックを集め、モデルを改善しています。
|
||||
- MiMo-V2.5 Free は期間限定で OpenCode で利用できます。チームはこの期間中にフィードバックを集め、モデルを改善しています。
|
||||
- Ling 3.0 Flash Fin Free は期間限定で OpenCode で利用できます。チームはこの期間中にフィードバックを集め、モデルを改善しています。
|
||||
- Nemotron 3 Ultra Free は期間限定で OpenCode で利用できます。チームはこの期間中にフィードバックを集め、モデルを改善しています。
|
||||
@@ -357,7 +354,6 @@ curl https://opencode.ai/zen/v1/systemone \
|
||||
すべてのモデルは米国でホストされています。私たちのプロバイダーはゼロ保持ポリシーに従っており、以下の例外を除き、モデル学習にあなたのデータを使用しません。
|
||||
|
||||
- Big Pickle: 無料提供期間中、収集されたデータがモデル改善に使われる場合があります。
|
||||
- MiMo-V2.6-Flash Free: 無料提供期間中、収集されたデータがモデル改善に使われる場合があります。
|
||||
- MiMo-V2.5 Free: 無料提供期間中、収集されたデータがモデル改善に使われる場合があります。
|
||||
- Ling 3.0 Flash Fin Free: 無料提供期間中、収集されたデータがモデル改善に使われる場合があります。
|
||||
- Nemotron 3 Ultra Free（NVIDIA の無料エンドポイント）: 試用専用です — 個人情報や機密データは送信しないでください。お客様の利用は、セキュリティ目的および NVIDIA の製品とサービスの改善のために記録されます。改善目的で記録されたセッションデータは、お客様の身元や永続的な識別子とは関連付けられません。当社のデータ処理慣行の詳細については、[プライバシーポリシー](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf)をご覧ください。このエンドポイントを利用することで、お客様はそのような情報の当社による収集、記録、利用、および [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf) に同意したものとみなされます。
|
||||
|
||||
@@ -60,8 +60,6 @@ workspace당 한 명의 멤버만 OpenCode Go를 구독할 수 있습니다.
|
||||
- **Kimi K2.7 Code**
|
||||
- **Kimi K2.6**
|
||||
- **LongCat-2.0**
|
||||
- **MiMo-V2.6-Flash**
|
||||
- **MiMo-V2.6-Pro**
|
||||
- **MiMo-V2.5**
|
||||
- **MiMo-V2.5-Pro**
|
||||
- **MiniMax M3**
|
||||
@@ -146,10 +144,8 @@ OpenCode 외에도 다음 클라이언트가 OpenCode Go에서 올바르게 작
|
||||
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - | **$60** |
|
||||
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - | **$60** |
|
||||
| LongCat-2.0 | $0.30 | $1.20 | $0.006 | - | **$60** |
|
||||
| MiMo-V2.6-Flash | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo-V2.6-Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiMo-V2.5 | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo-V2.5-Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo V2.5 Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | **$60** |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | **$60** |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | **$60** |
|
||||
@@ -197,8 +193,6 @@ OpenCode 외에도 다음 클라이언트가 OpenCode Go에서 올바르게 작
|
||||
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| LongCat-2.0 | 11,400 | 28,600 | 57,200 |
|
||||
| MiMo-V2.6-Flash | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.6-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
@@ -244,8 +238,6 @@ OpenCode 외에도 다음 클라이언트가 OpenCode Go에서 올바르게 작
|
||||
- Qwen3.6 Plus — 요청당 입력 500, 캐시 57,000, 출력 토큰 190
|
||||
- Hy4 preview — 요청당 입력 830, 캐시 71,500, 출력 토큰 295
|
||||
- Hy3 — 요청당 입력 830, 캐시 71,500, 출력 토큰 295
|
||||
- MiMo-V2.6-Flash — 요청당 입력 830, 캐시 71,500, 출력 토큰 295
|
||||
- MiMo-V2.6-Pro — 요청당 입력 790, 캐시 86,000, 출력 토큰 305
|
||||
- MiMo-V2.5 — 요청당 입력 830, 캐시 71,500, 출력 토큰 295
|
||||
- MiMo-V2.5-Pro — 요청당 입력 790, 캐시 86,000, 출력 토큰 305
|
||||
|
||||
@@ -298,8 +290,6 @@ Go에서는 월 $10를 지불하며, 포함된 월간 사용량은 모델마다
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash Vision Exp | deepseek-v4-flash-vision-exp | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Flash | mimo-v2.6-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Pro | mimo-v2.6-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -344,8 +334,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| Kimi K2.7 Code | 사용되지 않음 | 0일 |
|
||||
| Kimi K2.6 | 사용되지 않음 | 0일 |
|
||||
| LongCat-2.0 | 사용되지 않음 | 0일 |
|
||||
| MiMo-V2.6-Pro | 사용되지 않음 | 0일 |
|
||||
| MiMo-V2.6-Flash | 사용되지 않음 | 0일 |
|
||||
| MiMo-V2.5-Pro | 사용되지 않음 | 0일 |
|
||||
| MiMo-V2.5 | 사용되지 않음 | 0일 |
|
||||
| Qwen3.8 Max | 사용되지 않음 | 0일 |
|
||||
|
||||
@@ -120,7 +120,6 @@ OpenCode Zen은 OpenCode의 다른 provider와 똑같이 작동합니다.
|
||||
| Jev 1.13 | jev-1.13 | `https://opencode.ai/zen/v1/systemone` | - |
|
||||
| Jev 1.13 Free | jev-1.13-free | `https://opencode.ai/zen/v1/systemone` | - |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Flash Free | mimo-v2.6-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Ling 3.0 Flash Fin Free | ling-3.0-flash-fin-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
@@ -202,7 +201,6 @@ curl https://opencode.ai/zen/v1/systemone \
|
||||
| 모델 | 입력 | 출력 | Cached Read | Cached Write |
|
||||
| --------------------------------- | ------ | ------- | ----------- | ------------ |
|
||||
| Big Pickle | Free | Free | Free | - |
|
||||
| MiMo-V2.6-Flash Free | Free | Free | Free | - |
|
||||
| MiMo-V2.5 Free | Free | Free | Free | - |
|
||||
| Ling 3.0 Flash Fin Free | Free | Free | Free | - |
|
||||
| Nemotron 3 Ultra Free | Free | Free | Free | - |
|
||||
@@ -298,7 +296,6 @@ curl https://opencode.ai/zen/v1/systemone \
|
||||
|
||||
무료 모델:
|
||||
|
||||
- MiMo-V2.6-Flash Free는 한정된 기간 동안 OpenCode에서 제공됩니다. 팀은 이 기간에 피드백을 수집하고 모델을 개선합니다.
|
||||
- MiMo-V2.5 Free는 한정된 기간 동안 OpenCode에서 제공됩니다. 팀은 이 기간에 피드백을 수집하고 모델을 개선합니다.
|
||||
- Ling 3.0 Flash Fin Free는 한정된 기간 동안 OpenCode에서 제공됩니다. 팀은 이 기간에 피드백을 수집하고 모델을 개선합니다.
|
||||
- Nemotron 3 Ultra Free는 한정된 기간 동안 OpenCode에서 제공됩니다. 팀은 이 기간에 피드백을 수집하고 모델을 개선합니다.
|
||||
@@ -357,7 +354,6 @@ curl https://opencode.ai/zen/v1/systemone \
|
||||
모든 모델은 미국에서 호스팅됩니다. provider는 zero-retention 정책을 따르며, 다음 예외를 제외하고는 데이터를 모델 학습에 사용하지 않습니다.
|
||||
|
||||
- Big Pickle: 무료 제공 기간에는 수집된 데이터가 모델 개선에 사용될 수 있습니다.
|
||||
- MiMo-V2.6-Flash Free: 무료 제공 기간에는 수집된 데이터가 모델 개선에 사용될 수 있습니다.
|
||||
- MiMo-V2.5 Free: 무료 제공 기간에는 수집된 데이터가 모델 개선에 사용될 수 있습니다.
|
||||
- Ling 3.0 Flash Fin Free: 무료 제공 기간에는 수집된 데이터가 모델 개선에 사용될 수 있습니다.
|
||||
- Nemotron 3 Ultra Free(NVIDIA 무료 엔드포인트): 평가판 전용이며 — 개인 정보나 기밀 데이터는 제출하지 마세요. 사용 내역은 보안 목적과 NVIDIA 제품 및 서비스 개선을 위해 기록됩니다. 개선 목적으로 기록된 세션 데이터는 사용자의 신원이나 영구 식별자와 연결되지 않습니다. 당사의 데이터 처리 관행에 대한 자세한 내용은 [개인정보처리방침](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf)을 참조하세요. 이 엔드포인트와 상호 작용함으로써 사용자는 당사가 이러한 정보를 수집, 기록, 사용하는 것과 [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf)에 동의하게 됩니다.
|
||||
|
||||
@@ -70,8 +70,6 @@ Den nåværende listen over modeller inkluderer:
|
||||
- **Kimi K2.7 Code**
|
||||
- **Kimi K2.6**
|
||||
- **LongCat-2.0**
|
||||
- **MiMo-V2.6-Flash**
|
||||
- **MiMo-V2.6-Pro**
|
||||
- **MiMo-V2.5**
|
||||
- **MiMo-V2.5-Pro**
|
||||
- **MiniMax M3**
|
||||
@@ -159,10 +157,8 @@ Tokenpriser er oppgitt per 1M tokens.
|
||||
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - | **$60** |
|
||||
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - | **$60** |
|
||||
| LongCat-2.0 | $0.30 | $1.20 | $0.006 | - | **$60** |
|
||||
| MiMo-V2.6-Flash | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo-V2.6-Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiMo-V2.5 | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo-V2.5-Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo V2.5 Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | **$60** |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | **$60** |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | **$60** |
|
||||
@@ -210,8 +206,6 @@ Tabellen nedenfor viser et estimert antall forespørsler basert på typiske bruk
|
||||
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| LongCat-2.0 | 11,400 | 28,600 | 57,200 |
|
||||
| MiMo-V2.6-Flash | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.6-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
@@ -257,8 +251,6 @@ Estimatene bruker følgende antall tokens per forespørsel; faktisk bruk variere
|
||||
- Qwen3.6 Plus — 500 input, 57 000 bufret, 190 output-tokens per forespørsel
|
||||
- Hy4 preview — 830 input, 71 500 bufret, 295 output-tokens per forespørsel
|
||||
- Hy3 — 830 input, 71 500 bufret, 295 output-tokens per forespørsel
|
||||
- MiMo-V2.6-Flash — 830 input, 71 500 bufret, 295 output-tokens per forespørsel
|
||||
- MiMo-V2.6-Pro — 790 input, 86 000 bufret, 305 output-tokens per forespørsel
|
||||
- MiMo-V2.5 — 830 input, 71 500 bufret, 295 output-tokens per forespørsel
|
||||
- MiMo-V2.5-Pro — 790 input, 86 000 bufret, 305 output-tokens per forespørsel
|
||||
|
||||
@@ -313,8 +305,6 @@ Du kan også få tilgang til Go-modeller gjennom følgende API-endepunkter.
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash Vision Exp | deepseek-v4-flash-vision-exp | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Flash | mimo-v2.6-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Pro | mimo-v2.6-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -361,8 +351,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| Kimi K2.7 Code | Brukes ikke | 0 dager |
|
||||
| Kimi K2.6 | Brukes ikke | 0 dager |
|
||||
| LongCat-2.0 | Brukes ikke | 0 dager |
|
||||
| MiMo-V2.6-Pro | Brukes ikke | 0 dager |
|
||||
| MiMo-V2.6-Flash | Brukes ikke | 0 dager |
|
||||
| MiMo-V2.5-Pro | Brukes ikke | 0 dager |
|
||||
| MiMo-V2.5 | Brukes ikke | 0 dager |
|
||||
| Qwen3.8 Max | Brukes ikke | 0 dager |
|
||||
|
||||
@@ -129,7 +129,6 @@ Du kan også få tilgang til modellene våre gjennom følgende API-endepunkter.
|
||||
| Jev 1.13 | jev-1.13 | `https://opencode.ai/zen/v1/systemone` | - |
|
||||
| Jev 1.13 Free | jev-1.13-free | `https://opencode.ai/zen/v1/systemone` | - |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Flash Free | mimo-v2.6-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Ling 3.0 Flash Fin Free | ling-3.0-flash-fin-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
@@ -213,7 +212,6 @@ Vi støtter en pay-as-you-go-modell. Nedenfor er prisene **per 1M tokens**.
|
||||
| Modell | Inndata | Utdata | Bufret lesing | Bufret skriving |
|
||||
| --------------------------------- | ------- | ------- | ------------- | --------------- |
|
||||
| Big Pickle | Free | Free | Free | - |
|
||||
| MiMo-V2.6-Flash Free | Free | Free | Free | - |
|
||||
| MiMo-V2.5 Free | Free | Free | Free | - |
|
||||
| Ling 3.0 Flash Fin Free | Free | Free | Free | - |
|
||||
| Nemotron 3 Ultra Free | Free | Free | Free | - |
|
||||
@@ -309,7 +307,6 @@ Kredittkortgebyrer videreføres til kostpris (4.4% + $0.30 per transaction); vi
|
||||
|
||||
Gratis-modellene:
|
||||
|
||||
- MiMo-V2.6-Flash Free er tilgjengelig på OpenCode i en begrenset periode. Teamet bruker denne tiden til å samle inn tilbakemeldinger og forbedre modellen.
|
||||
- MiMo-V2.5 Free er tilgjengelig på OpenCode i en begrenset periode. Teamet bruker denne tiden til å samle inn tilbakemeldinger og forbedre modellen.
|
||||
- Ling 3.0 Flash Fin Free er tilgjengelig på OpenCode i en begrenset periode. Teamet bruker denne tiden til å samle inn tilbakemeldinger og forbedre modellen.
|
||||
- Nemotron 3 Ultra Free er tilgjengelig på OpenCode i en begrenset periode. Teamet bruker denne tiden til å samle inn tilbakemeldinger og forbedre modellen.
|
||||
@@ -371,7 +368,6 @@ med å belaste deg mer enn $20 hvis saldoen din går under $5.
|
||||
Alle modellene våre hostes i US. Leverandørene våre følger en policy for zero-retention og bruker ikke dataene dine til modelltrening, med følgende unntak:
|
||||
|
||||
- Big Pickle: I gratisperioden kan innsamlede data brukes til å forbedre modellen.
|
||||
- MiMo-V2.6-Flash Free: I gratisperioden kan innsamlede data brukes til å forbedre modellen.
|
||||
- MiMo-V2.5 Free: I gratisperioden kan innsamlede data brukes til å forbedre modellen.
|
||||
- Ling 3.0 Flash Fin Free: I gratisperioden kan innsamlede data brukes til å forbedre modellen.
|
||||
- Nemotron 3 Ultra Free (gratis NVIDIA-endepunkter): Kun for prøvebruk — ikke send inn personopplysninger eller konfidensielle data. Bruken din logges av sikkerhetshensyn og for å forbedre NVIDIAs produkter og tjenester. Sesjonsdataene som logges for forbedringsformål, er ikke knyttet til identiteten din eller noen vedvarende identifikator. For mer informasjon om vår databehandlingspraksis, se vår [personvernerklæring](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Ved å samhandle med dette endepunktet samtykker du til at vi samler inn, registrerer og bruker slik informasjon, samt til [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf).
|
||||
|
||||
@@ -64,8 +64,6 @@ Obecna lista modeli obejmuje:
|
||||
- **Kimi K2.7 Code**
|
||||
- **Kimi K2.6**
|
||||
- **LongCat-2.0**
|
||||
- **MiMo-V2.6-Flash**
|
||||
- **MiMo-V2.6-Pro**
|
||||
- **MiMo-V2.5**
|
||||
- **MiMo-V2.5-Pro**
|
||||
- **MiniMax M3**
|
||||
@@ -153,10 +151,8 @@ Ceny tokenów podano za 1M tokenów.
|
||||
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - | **$60** |
|
||||
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - | **$60** |
|
||||
| LongCat-2.0 | $0.30 | $1.20 | $0.006 | - | **$60** |
|
||||
| MiMo-V2.6-Flash | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo-V2.6-Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiMo-V2.5 | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo-V2.5-Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo V2.5 Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | **$60** |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | **$60** |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | **$60** |
|
||||
@@ -204,8 +200,6 @@ Poniższa tabela przedstawia szacunkową liczbę żądań na podstawie typowych
|
||||
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| LongCat-2.0 | 11,400 | 28,600 | 57,200 |
|
||||
| MiMo-V2.6-Flash | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.6-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
@@ -251,8 +245,6 @@ Szacunki wykorzystują następującą liczbę tokenów na żądanie; rzeczywiste
|
||||
- Qwen3.6 Plus — 500 tokenów wejściowych, 57 000 w pamięci podręcznej, 190 tokenów wyjściowych na żądanie
|
||||
- Hy4 preview — 830 tokenów wejściowych, 71 500 w pamięci podręcznej, 295 tokenów wyjściowych na żądanie
|
||||
- Hy3 — 830 tokenów wejściowych, 71 500 w pamięci podręcznej, 295 tokenów wyjściowych na żądanie
|
||||
- MiMo-V2.6-Flash — 830 tokenów wejściowych, 71 500 w pamięci podręcznej, 295 tokenów wyjściowych na żądanie
|
||||
- MiMo-V2.6-Pro — 790 tokenów wejściowych, 86 000 w pamięci podręcznej, 305 tokenów wyjściowych na żądanie
|
||||
- MiMo-V2.5 — 830 tokenów wejściowych, 71 500 w pamięci podręcznej, 295 tokenów wyjściowych na żądanie
|
||||
- MiMo-V2.5-Pro — 790 tokenów wejściowych, 86 000 w pamięci podręcznej, 305 tokenów wyjściowych na żądanie
|
||||
|
||||
@@ -305,8 +297,6 @@ Możesz również uzyskać dostęp do modeli Go za pośrednictwem następującyc
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash Vision Exp | deepseek-v4-flash-vision-exp | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Flash | mimo-v2.6-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Pro | mimo-v2.6-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -353,8 +343,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| Kimi K2.7 Code | Niewykorzystywane | 0 dni |
|
||||
| Kimi K2.6 | Niewykorzystywane | 0 dni |
|
||||
| LongCat-2.0 | Niewykorzystywane | 0 dni |
|
||||
| MiMo-V2.6-Pro | Niewykorzystywane | 0 dni |
|
||||
| MiMo-V2.6-Flash | Niewykorzystywane | 0 dni |
|
||||
| MiMo-V2.5-Pro | Niewykorzystywane | 0 dni |
|
||||
| MiMo-V2.5 | Niewykorzystywane | 0 dni |
|
||||
| Qwen3.8 Max | Niewykorzystywane | 0 dni |
|
||||
|
||||
@@ -129,7 +129,6 @@ Możesz też uzyskać dostęp do naszych modeli przez poniższe endpointy API.
|
||||
| Jev 1.13 | jev-1.13 | `https://opencode.ai/zen/v1/systemone` | - |
|
||||
| Jev 1.13 Free | jev-1.13-free | `https://opencode.ai/zen/v1/systemone` | - |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Flash Free | mimo-v2.6-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Ling 3.0 Flash Fin Free | ling-3.0-flash-fin-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
@@ -213,7 +212,6 @@ Obsługujemy model pay-as-you-go. Poniżej znajdują się ceny **za 1M tokenów*
|
||||
| Model | Wejście | Wyjście | Odczyt z cache | Zapis do cache |
|
||||
| --------------------------------- | ------- | ------- | -------------- | -------------- |
|
||||
| Big Pickle | Free | Free | Free | - |
|
||||
| MiMo-V2.6-Flash Free | Free | Free | Free | - |
|
||||
| MiMo-V2.5 Free | Free | Free | Free | - |
|
||||
| Ling 3.0 Flash Fin Free | Free | Free | Free | - |
|
||||
| Nemotron 3 Ultra Free | Free | Free | Free | - |
|
||||
@@ -309,7 +307,6 @@ Opłaty za karty kredytowe są przenoszone po kosztach (4.4% + $0.30 per transac
|
||||
|
||||
Darmowe modele:
|
||||
|
||||
- MiMo-V2.6-Flash Free jest dostępny w OpenCode przez ograniczony czas. Zespół wykorzystuje ten czas do zbierania opinii i ulepszania modelu.
|
||||
- MiMo-V2.5 Free jest dostępny w OpenCode przez ograniczony czas. Zespół wykorzystuje ten czas do zbierania opinii i ulepszania modelu.
|
||||
- Ling 3.0 Flash Fin Free jest dostępny w OpenCode przez ograniczony czas. Zespół wykorzystuje ten czas do zbierania opinii i ulepszania modelu.
|
||||
- Nemotron 3 Ultra Free jest dostępny w OpenCode przez ograniczony czas. Zespół wykorzystuje ten czas do zbierania opinii i ulepszania modelu.
|
||||
@@ -371,7 +368,6 @@ ostatecznie obciążyć Cię kwotą wyższą niż $20, jeśli Twoje saldo spadni
|
||||
Wszystkie nasze modele są hostowane w US. Nasi dostawcy stosują politykę zero-retention i nie wykorzystują Twoich danych do trenowania modeli, z następującymi wyjątkami:
|
||||
|
||||
- Big Pickle: W czasie darmowego okresu zebrane dane mogą być wykorzystywane do ulepszania modelu.
|
||||
- MiMo-V2.6-Flash Free: W czasie darmowego okresu zebrane dane mogą być wykorzystywane do ulepszania modelu.
|
||||
- MiMo-V2.5 Free: W czasie darmowego okresu zebrane dane mogą być wykorzystywane do ulepszania modelu.
|
||||
- Ling 3.0 Flash Fin Free: W czasie darmowego okresu zebrane dane mogą być wykorzystywane do ulepszania modelu.
|
||||
- Nemotron 3 Ultra Free (darmowe endpointy NVIDIA): Tylko do użytku próbnego — nie przesyłaj danych osobowych ani poufnych. Twoje korzystanie jest rejestrowane w celach bezpieczeństwa oraz w celu ulepszania produktów i usług NVIDIA. Rejestrowane dane sesji wykorzystywane do celów ulepszania nie są powiązane z Twoją tożsamością ani żadnym trwałym identyfikatorem. Aby uzyskać więcej informacji o naszych praktykach przetwarzania danych, zapoznaj się z naszą [Polityką prywatności](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Korzystając z tego endpointu, wyrażasz zgodę na gromadzenie, rejestrowanie i wykorzystywanie przez nas takich informacji oraz na [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf).
|
||||
|
||||
@@ -70,8 +70,6 @@ A lista atual de modelos inclui:
|
||||
- **Kimi K2.7 Code**
|
||||
- **Kimi K2.6**
|
||||
- **LongCat-2.0**
|
||||
- **MiMo-V2.6-Flash**
|
||||
- **MiMo-V2.6-Pro**
|
||||
- **MiMo-V2.5**
|
||||
- **MiMo-V2.5-Pro**
|
||||
- **MiniMax M3**
|
||||
@@ -159,10 +157,8 @@ Os preços de tokens são indicados por 1M tokens.
|
||||
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - | **$60** |
|
||||
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - | **$60** |
|
||||
| LongCat-2.0 | $0.30 | $1.20 | $0.006 | - | **$60** |
|
||||
| MiMo-V2.6-Flash | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo-V2.6-Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiMo-V2.5 | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo-V2.5-Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo V2.5 Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | **$60** |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | **$60** |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | **$60** |
|
||||
@@ -210,8 +206,6 @@ A tabela abaixo apresenta uma quantidade estimada de requisições com base nos
|
||||
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| LongCat-2.0 | 11,400 | 28,600 | 57,200 |
|
||||
| MiMo-V2.6-Flash | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.6-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
@@ -257,8 +251,6 @@ As estimativas usam as seguintes quantidades de tokens por requisição; o uso r
|
||||
- Qwen3.6 Plus — 500 tokens de entrada, 57.000 em cache, 190 tokens de saída por requisição
|
||||
- Hy4 preview — 830 tokens de entrada, 71.500 em cache, 295 tokens de saída por requisição
|
||||
- Hy3 — 830 tokens de entrada, 71.500 em cache, 295 tokens de saída por requisição
|
||||
- MiMo-V2.6-Flash — 830 tokens de entrada, 71.500 em cache, 295 tokens de saída por requisição
|
||||
- MiMo-V2.6-Pro — 790 tokens de entrada, 86.000 em cache, 305 tokens de saída por requisição
|
||||
- MiMo-V2.5 — 830 tokens de entrada, 71.500 em cache, 295 tokens de saída por requisição
|
||||
- MiMo-V2.5-Pro — 790 tokens de entrada, 86.000 em cache, 305 tokens de saída por requisição
|
||||
|
||||
@@ -313,8 +305,6 @@ Você também pode acessar os modelos do Go através dos seguintes endpoints de
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash Vision Exp | deepseek-v4-flash-vision-exp | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Flash | mimo-v2.6-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Pro | mimo-v2.6-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -361,8 +351,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| Kimi K2.7 Code | Não usado | 0 dias |
|
||||
| Kimi K2.6 | Não usado | 0 dias |
|
||||
| LongCat-2.0 | Não usado | 0 dias |
|
||||
| MiMo-V2.6-Pro | Não usado | 0 dias |
|
||||
| MiMo-V2.6-Flash | Não usado | 0 dias |
|
||||
| MiMo-V2.5-Pro | Não usado | 0 dias |
|
||||
| MiMo-V2.5 | Não usado | 0 dias |
|
||||
| Qwen3.8 Max | Não usado | 0 dias |
|
||||
|
||||
@@ -120,7 +120,6 @@ Você também pode acessar nossos modelos pelos seguintes endpoints de API.
|
||||
| Jev 1.13 | jev-1.13 | `https://opencode.ai/zen/v1/systemone` | - |
|
||||
| Jev 1.13 Free | jev-1.13-free | `https://opencode.ai/zen/v1/systemone` | - |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Flash Free | mimo-v2.6-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Ling 3.0 Flash Fin Free | ling-3.0-flash-fin-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
@@ -202,7 +201,6 @@ Oferecemos um modelo pay-as-you-go. Abaixo estão os preços **por 1M tokens**.
|
||||
| Modelo | Entrada | Saída | Leitura em cache | Escrita em cache |
|
||||
| --------------------------------- | ------- | ------- | ---------------- | ---------------- |
|
||||
| Big Pickle | Free | Free | Free | - |
|
||||
| MiMo-V2.6-Flash Free | Free | Free | Free | - |
|
||||
| MiMo-V2.5 Free | Free | Free | Free | - |
|
||||
| Ling 3.0 Flash Fin Free | Free | Free | Free | - |
|
||||
| Nemotron 3 Ultra Free | Free | Free | Free | - |
|
||||
@@ -298,7 +296,6 @@ As taxas de cartão de crédito são repassadas a preço de custo (4.4% + $0.30
|
||||
|
||||
Os modelos gratuitos:
|
||||
|
||||
- MiMo-V2.6-Flash Free está disponível no OpenCode por tempo limitado. A equipe está usando esse período para coletar feedback e melhorar o modelo.
|
||||
- MiMo-V2.5 Free está disponível no OpenCode por tempo limitado. A equipe está usando esse período para coletar feedback e melhorar o modelo.
|
||||
- Ling 3.0 Flash Fin Free está disponível no OpenCode por tempo limitado. A equipe está usando esse período para coletar feedback e melhorar o modelo.
|
||||
- Nemotron 3 Ultra Free está disponível no OpenCode por tempo limitado. A equipe está usando esse período para coletar feedback e melhorar o modelo.
|
||||
@@ -357,7 +354,6 @@ Por exemplo, digamos que você defina um limite mensal de uso de $20; o Zen não
|
||||
Todos os nossos modelos são hospedados nos US. Nossos provedores seguem uma política de zero-retention e não usam seus dados para treinamento de modelos, com as seguintes exceções:
|
||||
|
||||
- Big Pickle: Durante seu período gratuito, os dados coletados podem ser usados para melhorar o modelo.
|
||||
- MiMo-V2.6-Flash Free: Durante seu período gratuito, os dados coletados podem ser usados para melhorar o modelo.
|
||||
- MiMo-V2.5 Free: Durante seu período gratuito, os dados coletados podem ser usados para melhorar o modelo.
|
||||
- Ling 3.0 Flash Fin Free: Durante seu período gratuito, os dados coletados podem ser usados para melhorar o modelo.
|
||||
- Nemotron 3 Ultra Free (endpoints gratuitos da NVIDIA): Apenas para uso de avaliação — não envie dados pessoais ou confidenciais. Seu uso é registrado para fins de segurança e para melhorar os produtos e serviços da NVIDIA. Os dados de sessão registrados para fins de melhoria não estão vinculados à sua identidade nem a qualquer identificador persistente. Para mais informações sobre nossas práticas de processamento de dados, consulte nossa [Política de Privacidade](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Ao interagir com este endpoint, você consente com a nossa coleta, registro e uso dessas informações e com os [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf).
|
||||
|
||||
@@ -70,8 +70,6 @@ OpenCode Go работает так же, как и любой другой пр
|
||||
- **Kimi K2.7 Code**
|
||||
- **Kimi K2.6**
|
||||
- **LongCat-2.0**
|
||||
- **MiMo-V2.6-Flash**
|
||||
- **MiMo-V2.6-Pro**
|
||||
- **MiMo-V2.5**
|
||||
- **MiMo-V2.5-Pro**
|
||||
- **MiniMax M3**
|
||||
@@ -159,10 +157,8 @@ OpenCode Go предназначен для [OpenCode](https://opencode.ai) и
|
||||
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - | **$60** |
|
||||
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - | **$60** |
|
||||
| LongCat-2.0 | $0.30 | $1.20 | $0.006 | - | **$60** |
|
||||
| MiMo-V2.6-Flash | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo-V2.6-Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiMo-V2.5 | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo-V2.5-Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo V2.5 Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | **$60** |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | **$60** |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | **$60** |
|
||||
@@ -210,8 +206,6 @@ OpenCode Go предназначен для [OpenCode](https://opencode.ai) и
|
||||
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| LongCat-2.0 | 11,400 | 28,600 | 57,200 |
|
||||
| MiMo-V2.6-Flash | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.6-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
@@ -257,8 +251,6 @@ OpenCode Go предназначен для [OpenCode](https://opencode.ai) и
|
||||
- Qwen3.6 Plus — 500 входных, 57,000 кешированных, 190 выходных токенов на запрос
|
||||
- Hy4 preview — 830 входных, 71,500 кешированных, 295 выходных токенов на запрос
|
||||
- Hy3 — 830 входных, 71,500 кешированных, 295 выходных токенов на запрос
|
||||
- MiMo-V2.6-Flash — 830 входных, 71,500 кешированных, 295 выходных токенов на запрос
|
||||
- MiMo-V2.6-Pro — 790 входных, 86,000 кешированных, 305 выходных токенов на запрос
|
||||
- MiMo-V2.5 — 830 входных, 71,500 кешированных, 295 выходных токенов на запрос
|
||||
- MiMo-V2.5-Pro — 790 входных, 86,000 кешированных, 305 выходных токенов на запрос
|
||||
|
||||
@@ -313,8 +305,6 @@ OpenCode Go предназначен для [OpenCode](https://opencode.ai) и
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash Vision Exp | deepseek-v4-flash-vision-exp | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Flash | mimo-v2.6-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Pro | mimo-v2.6-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -361,8 +351,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| Kimi K2.7 Code | Не используется | 0 дней |
|
||||
| Kimi K2.6 | Не используется | 0 дней |
|
||||
| LongCat-2.0 | Не используется | 0 дней |
|
||||
| MiMo-V2.6-Pro | Не используется | 0 дней |
|
||||
| MiMo-V2.6-Flash | Не используется | 0 дней |
|
||||
| MiMo-V2.5-Pro | Не используется | 0 дней |
|
||||
| MiMo-V2.5 | Не используется | 0 дней |
|
||||
| Qwen3.8 Max | Не используется | 0 дней |
|
||||
|
||||
@@ -129,7 +129,6 @@ OpenCode Zen работает как любой другой провайдер
|
||||
| Jev 1.13 | jev-1.13 | `https://opencode.ai/zen/v1/systemone` | - |
|
||||
| Jev 1.13 Free | jev-1.13-free | `https://opencode.ai/zen/v1/systemone` | - |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Flash Free | mimo-v2.6-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Ling 3.0 Flash Fin Free | ling-3.0-flash-fin-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
@@ -213,7 +212,6 @@ curl https://opencode.ai/zen/v1/systemone \
|
||||
| Модель | Вход | Выход | Cached Read | Cached Write |
|
||||
| --------------------------------- | --------- | --------- | ----------- | ------------ |
|
||||
| Big Pickle | Free | Free | Free | - |
|
||||
| MiMo-V2.6-Flash Free | Free | Free | Free | - |
|
||||
| MiMo-V2.5 Free | Free | Free | Free | - |
|
||||
| Ling 3.0 Flash Fin Free | Free | Free | Free | - |
|
||||
| Nemotron 3 Ultra Free | Free | Free | Free | - |
|
||||
@@ -309,7 +307,6 @@ curl https://opencode.ai/zen/v1/systemone \
|
||||
|
||||
Бесплатные модели:
|
||||
|
||||
- MiMo-V2.6-Flash Free доступна в OpenCode ограниченное время. Команда использует это время, чтобы собирать отзывы и улучшать модель.
|
||||
- MiMo-V2.5 Free доступна в OpenCode ограниченное время. Команда использует это время, чтобы собирать отзывы и улучшать модель.
|
||||
- Ling 3.0 Flash Fin Free доступна в OpenCode ограниченное время. Команда использует это время, чтобы собирать отзывы и улучшать модель.
|
||||
- Nemotron 3 Ultra Free доступна в OpenCode ограниченное время. Команда использует это время, чтобы собирать отзывы и улучшать модель.
|
||||
@@ -371,7 +368,6 @@ curl https://opencode.ai/zen/v1/systemone \
|
||||
Все наши модели размещены в US. Наши провайдеры придерживаются политики нулевого хранения и не используют ваши данные для обучения моделей, за следующими исключениями:
|
||||
|
||||
- Big Pickle: во время бесплатного периода собранные данные могут использоваться для улучшения модели.
|
||||
- MiMo-V2.6-Flash Free: во время бесплатного периода собранные данные могут использоваться для улучшения модели.
|
||||
- MiMo-V2.5 Free: во время бесплатного периода собранные данные могут использоваться для улучшения модели.
|
||||
- Ling 3.0 Flash Fin Free: во время бесплатного периода собранные данные могут использоваться для улучшения модели.
|
||||
- Nemotron 3 Ultra Free (бесплатные эндпоинты NVIDIA): только для пробного использования — не отправляйте персональные или конфиденциальные данные. Использование логируется в целях безопасности и для улучшения продуктов и сервисов NVIDIA. Логируемые данные сессии, используемые в целях улучшения, не связаны с вашей личностью или каким-либо постоянным идентификатором. Подробнее о наших практиках обработки данных см. в нашей [Политике конфиденциальности](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Взаимодействуя с этим эндпоинтом, вы соглашаетесь на сбор, запись и использование нами такой информации, а также с [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf).
|
||||
|
||||
@@ -60,8 +60,6 @@ OpenCode Go ทำงานเหมือนกับผู้ให้บร
|
||||
- **Kimi K2.7 Code**
|
||||
- **Kimi K2.6**
|
||||
- **LongCat-2.0**
|
||||
- **MiMo-V2.6-Flash**
|
||||
- **MiMo-V2.6-Pro**
|
||||
- **MiMo-V2.5**
|
||||
- **MiMo-V2.5-Pro**
|
||||
- **MiniMax M3**
|
||||
@@ -146,10 +144,8 @@ OpenCode Go ออกแบบมาสำหรับ [OpenCode](https://openco
|
||||
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - | **$60** |
|
||||
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - | **$60** |
|
||||
| LongCat-2.0 | $0.30 | $1.20 | $0.006 | - | **$60** |
|
||||
| MiMo-V2.6-Flash | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo-V2.6-Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiMo-V2.5 | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo-V2.5-Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo V2.5 Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | **$60** |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | **$60** |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | **$60** |
|
||||
@@ -197,8 +193,6 @@ OpenCode Go ออกแบบมาสำหรับ [OpenCode](https://openco
|
||||
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| LongCat-2.0 | 11,400 | 28,600 | 57,200 |
|
||||
| MiMo-V2.6-Flash | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.6-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
@@ -244,8 +238,6 @@ OpenCode Go ออกแบบมาสำหรับ [OpenCode](https://openco
|
||||
- Qwen3.6 Plus — 500 input, 57,000 cached, 190 output tokens ต่อ request
|
||||
- Hy4 preview — 830 input, 71,500 cached, 295 output tokens ต่อ request
|
||||
- Hy3 — 830 input, 71,500 cached, 295 output tokens ต่อ request
|
||||
- MiMo-V2.6-Flash — 830 input, 71,500 cached, 295 output tokens ต่อ request
|
||||
- MiMo-V2.6-Pro — 790 input, 86,000 cached, 305 output tokens ต่อ request
|
||||
- MiMo-V2.5 — 830 input, 71,500 cached, 295 output tokens ต่อ request
|
||||
- MiMo-V2.5-Pro — 790 input, 86,000 cached, 305 output tokens ต่อ request
|
||||
|
||||
@@ -298,8 +290,6 @@ OpenCode Go ออกแบบมาสำหรับ [OpenCode](https://openco
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash Vision Exp | deepseek-v4-flash-vision-exp | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Flash | mimo-v2.6-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Pro | mimo-v2.6-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -344,8 +334,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| Kimi K2.7 Code | ไม่นำไปใช้ | 0 วัน |
|
||||
| Kimi K2.6 | ไม่นำไปใช้ | 0 วัน |
|
||||
| LongCat-2.0 | ไม่นำไปใช้ | 0 วัน |
|
||||
| MiMo-V2.6-Pro | ไม่นำไปใช้ | 0 วัน |
|
||||
| MiMo-V2.6-Flash | ไม่นำไปใช้ | 0 วัน |
|
||||
| MiMo-V2.5-Pro | ไม่นำไปใช้ | 0 วัน |
|
||||
| MiMo-V2.5 | ไม่นำไปใช้ | 0 วัน |
|
||||
| Qwen3.8 Max | ไม่นำไปใช้ | 0 วัน |
|
||||
|
||||
@@ -122,7 +122,6 @@ OpenCode Zen ทำงานเหมือน provider อื่น ๆ ใน
|
||||
| Jev 1.13 | jev-1.13 | `https://opencode.ai/zen/v1/systemone` | - |
|
||||
| Jev 1.13 Free | jev-1.13-free | `https://opencode.ai/zen/v1/systemone` | - |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Flash Free | mimo-v2.6-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Ling 3.0 Flash Fin Free | ling-3.0-flash-fin-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
@@ -204,7 +203,6 @@ curl https://opencode.ai/zen/v1/systemone \
|
||||
| Model | Input | Output | Cached Read | Cached Write |
|
||||
| --------------------------------- | ------ | ------- | ----------- | ------------ |
|
||||
| Big Pickle | Free | Free | Free | - |
|
||||
| MiMo-V2.6-Flash Free | Free | Free | Free | - |
|
||||
| MiMo-V2.5 Free | Free | Free | Free | - |
|
||||
| Ling 3.0 Flash Fin Free | Free | Free | Free | - |
|
||||
| Nemotron 3 Ultra Free | Free | Free | Free | - |
|
||||
@@ -300,7 +298,6 @@ curl https://opencode.ai/zen/v1/systemone \
|
||||
|
||||
โมเดลฟรี:
|
||||
|
||||
- MiMo-V2.6-Flash Free เปิดให้ใช้บน OpenCode ในช่วงเวลาจำกัด ทีมกำลังใช้ช่วงเวลานี้เพื่อเก็บ feedback และปรับปรุงโมเดล
|
||||
- MiMo-V2.5 Free เปิดให้ใช้บน OpenCode ในช่วงเวลาจำกัด ทีมกำลังใช้ช่วงเวลานี้เพื่อเก็บ feedback และปรับปรุงโมเดล
|
||||
- Ling 3.0 Flash Fin Free เปิดให้ใช้บน OpenCode ในช่วงเวลาจำกัด ทีมกำลังใช้ช่วงเวลานี้เพื่อเก็บ feedback และปรับปรุงโมเดล
|
||||
- Nemotron 3 Ultra Free เปิดให้ใช้บน OpenCode ในช่วงเวลาจำกัด ทีมกำลังใช้ช่วงเวลานี้เพื่อเก็บ feedback และปรับปรุงโมเดล
|
||||
@@ -359,7 +356,6 @@ curl https://opencode.ai/zen/v1/systemone \
|
||||
โมเดลทั้งหมดของเราโฮสต์อยู่ใน US provider ของเราปฏิบัติตามนโยบาย zero-retention และจะไม่ใช้ข้อมูลของคุณเพื่อฝึกโมเดล ยกเว้นกรณีต่อไปนี้:
|
||||
|
||||
- Big Pickle: ระหว่างช่วงที่เปิดให้ใช้ฟรี ข้อมูลที่เก็บรวบรวมอาจถูกนำไปใช้เพื่อปรับปรุงโมเดล
|
||||
- MiMo-V2.6-Flash Free: ระหว่างช่วงที่เปิดให้ใช้ฟรี ข้อมูลที่เก็บรวบรวมอาจถูกนำไปใช้เพื่อปรับปรุงโมเดล
|
||||
- MiMo-V2.5 Free: ระหว่างช่วงที่เปิดให้ใช้ฟรี ข้อมูลที่เก็บรวบรวมอาจถูกนำไปใช้เพื่อปรับปรุงโมเดล
|
||||
- Ling 3.0 Flash Fin Free: ระหว่างช่วงที่เปิดให้ใช้ฟรี ข้อมูลที่เก็บรวบรวมอาจถูกนำไปใช้เพื่อปรับปรุงโมเดล
|
||||
- Nemotron 3 Ultra Free (endpoint ฟรีของ NVIDIA): ใช้สำหรับการทดลองเท่านั้น — โปรดอย่าส่งข้อมูลส่วนบุคคลหรือข้อมูลลับ การใช้งานของคุณจะถูกบันทึกเพื่อวัตถุประสงค์ด้านความปลอดภัยและเพื่อปรับปรุงผลิตภัณฑ์และบริการของ NVIDIA ข้อมูลเซสชันที่บันทึกไว้เพื่อวัตถุประสงค์ในการปรับปรุงจะไม่เชื่อมโยงกับตัวตนของคุณหรือตัวระบุถาวรใด ๆ สำหรับข้อมูลเพิ่มเติมเกี่ยวกับแนวปฏิบัติในการประมวลผลข้อมูลของเรา โปรดดู [นโยบายความเป็นส่วนตัว](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf) ของเรา การโต้ตอบกับ endpoint นี้ถือว่าคุณยินยอมให้เราเก็บรวบรวม บันทึก และใช้ข้อมูลดังกล่าว รวมถึง [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf)
|
||||
|
||||
@@ -60,8 +60,6 @@ Mevcut model listesi şunları içerir:
|
||||
- **Kimi K2.7 Code**
|
||||
- **Kimi K2.6**
|
||||
- **LongCat-2.0**
|
||||
- **MiMo-V2.6-Flash**
|
||||
- **MiMo-V2.6-Pro**
|
||||
- **MiMo-V2.5**
|
||||
- **MiMo-V2.5-Pro**
|
||||
- **MiniMax M3**
|
||||
@@ -146,10 +144,8 @@ Token fiyatları 1M token başına verilmiştir.
|
||||
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - | **$60** |
|
||||
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - | **$60** |
|
||||
| LongCat-2.0 | $0.30 | $1.20 | $0.006 | - | **$60** |
|
||||
| MiMo-V2.6-Flash | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo-V2.6-Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiMo-V2.5 | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo-V2.5-Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo V2.5 Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | **$60** |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | **$60** |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | **$60** |
|
||||
@@ -197,8 +193,6 @@ Aşağıdaki tabloda tipik Go kullanım modellerine dayalı tahmini istek sayıs
|
||||
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| LongCat-2.0 | 11,400 | 28,600 | 57,200 |
|
||||
| MiMo-V2.6-Flash | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.6-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
@@ -244,8 +238,6 @@ Tahminler istek başına aşağıdaki token sayılarını kullanır; gerçek kul
|
||||
- Qwen3.6 Plus — İstek başına 500 girdi, 57.000 önbelleğe alınmış, 190 çıktı token'ı
|
||||
- Hy4 preview — İstek başına 830 girdi, 71.500 önbelleğe alınmış, 295 çıktı token'ı
|
||||
- Hy3 — İstek başına 830 girdi, 71.500 önbelleğe alınmış, 295 çıktı token'ı
|
||||
- MiMo-V2.6-Flash — İstek başına 830 girdi, 71.500 önbelleğe alınmış, 295 çıktı token'ı
|
||||
- MiMo-V2.6-Pro — İstek başına 790 girdi, 86.000 önbelleğe alınmış, 305 çıktı token'ı
|
||||
- MiMo-V2.5 — İstek başına 830 girdi, 71.500 önbelleğe alınmış, 295 çıktı token'ı
|
||||
- MiMo-V2.5-Pro — İstek başına 790 girdi, 86.000 önbelleğe alınmış, 305 çıktı token'ı
|
||||
|
||||
@@ -298,8 +290,6 @@ Go modellerine aşağıdaki API uç noktaları aracılığıyla da erişebilirsi
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash Vision Exp | deepseek-v4-flash-vision-exp | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Flash | mimo-v2.6-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Pro | mimo-v2.6-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -344,8 +334,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| Kimi K2.7 Code | Kullanılmaz | 0 gün |
|
||||
| Kimi K2.6 | Kullanılmaz | 0 gün |
|
||||
| LongCat-2.0 | Kullanılmaz | 0 gün |
|
||||
| MiMo-V2.6-Pro | Kullanılmaz | 0 gün |
|
||||
| MiMo-V2.6-Flash | Kullanılmaz | 0 gün |
|
||||
| MiMo-V2.5-Pro | Kullanılmaz | 0 gün |
|
||||
| MiMo-V2.5 | Kullanılmaz | 0 gün |
|
||||
| Qwen3.8 Max | Kullanılmaz | 0 gün |
|
||||
|
||||
@@ -120,7 +120,6 @@ Modellerimize aşağıdaki API uç noktaları aracılığıyla da erişebilirsin
|
||||
| Jev 1.13 | jev-1.13 | `https://opencode.ai/zen/v1/systemone` | - |
|
||||
| Jev 1.13 Free | jev-1.13-free | `https://opencode.ai/zen/v1/systemone` | - |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Flash Free | mimo-v2.6-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Ling 3.0 Flash Fin Free | ling-3.0-flash-fin-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
@@ -202,7 +201,6 @@ Kullandıkça öde modelini destekliyoruz. Aşağıda **1M token başına** fiya
|
||||
| Model | Input | Output | Cached Read | Cached Write |
|
||||
| --------------------------------- | -------- | -------- | ----------- | ------------ |
|
||||
| Big Pickle | Free | Free | Free | - |
|
||||
| MiMo-V2.6-Flash Free | Free | Free | Free | - |
|
||||
| MiMo-V2.5 Free | Free | Free | Free | - |
|
||||
| Ling 3.0 Flash Fin Free | Free | Free | Free | - |
|
||||
| Nemotron 3 Ultra Free | Free | Free | Free | - |
|
||||
@@ -298,7 +296,6 @@ Kredi kartı ücretleri maliyet üzerinden yansıtılır (%4.4 + işlem başına
|
||||
|
||||
Ücretsiz modeller:
|
||||
|
||||
- MiMo-V2.6-Flash Free, sınırlı bir süre için OpenCode'da ücretsizdir. Ekip bu süreyi geri bildirim toplamak ve modeli iyileştirmek için kullanıyor.
|
||||
- MiMo-V2.5 Free, sınırlı bir süre için OpenCode'da ücretsizdir. Ekip bu süreyi geri bildirim toplamak ve modeli iyileştirmek için kullanıyor.
|
||||
- Ling 3.0 Flash Fin Free, sınırlı bir süre için OpenCode'da ücretsizdir. Ekip bu süreyi geri bildirim toplamak ve modeli iyileştirmek için kullanıyor.
|
||||
- Nemotron 3 Ultra Free, sınırlı bir süre için OpenCode'da ücretsizdir. Ekip bu süreyi geri bildirim toplamak ve modeli iyileştirmek için kullanıyor.
|
||||
@@ -357,7 +354,6 @@ Ayrıca tüm çalışma alanı için ve ekibinizdeki her üye için aylık kulla
|
||||
Tüm modellerimiz US'de barındırılıyor. Sağlayıcılarımız zero-retention politikası uygular ve aşağıdaki istisnalar dışında verilerinizi model eğitimi için kullanmaz:
|
||||
|
||||
- Big Pickle: Ücretsiz döneminde toplanan veriler modeli iyileştirmek için kullanılabilir.
|
||||
- MiMo-V2.6-Flash Free: Ücretsiz döneminde toplanan veriler modeli iyileştirmek için kullanılabilir.
|
||||
- MiMo-V2.5 Free: Ücretsiz döneminde toplanan veriler modeli iyileştirmek için kullanılabilir.
|
||||
- Ling 3.0 Flash Fin Free: Ücretsiz döneminde toplanan veriler modeli iyileştirmek için kullanılabilir.
|
||||
- Nemotron 3 Ultra Free (ücretsiz NVIDIA uç noktaları): Yalnızca deneme amaçlıdır — kişisel veya gizli veri göndermeyin. Kullanımınız güvenlik amacıyla ve NVIDIA ürünlerini ve hizmetlerini geliştirmek için kaydedilir. Geliştirme amacıyla kaydedilen oturum verileri kimliğinizle veya herhangi bir kalıcı tanımlayıcıyla ilişkilendirilmez. Veri işleme uygulamalarımız hakkında daha fazla bilgi için [Gizlilik Politikamıza](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf) bakın. Bu uç noktayla etkileşime geçerek, bu tür bilgileri toplamamıza, kaydetmemize ve kullanmamıza ve [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf) koşullarına onay vermiş olursunuz.
|
||||
|
||||
@@ -129,7 +129,6 @@ You can also access our models through the following API endpoints.
|
||||
| Jev 1.13 | jev-1.13 | `https://opencode.ai/zen/v1/systemone` | - |
|
||||
| Jev 1.13 Free | jev-1.13-free | `https://opencode.ai/zen/v1/systemone` | - |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Flash Free | mimo-v2.6-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Ling 3.0 Flash Fin Free | ling-3.0-flash-fin-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
@@ -213,7 +212,6 @@ We support a pay-as-you-go model. Below are the prices **per 1M tokens**.
|
||||
| Model | Input | Output | Cached Read | Cached Write |
|
||||
| --------------------------------- | ------ | ------- | ----------- | ------------ |
|
||||
| Big Pickle | Free | Free | Free | - |
|
||||
| MiMo-V2.6-Flash Free | Free | Free | Free | - |
|
||||
| MiMo-V2.5 Free | Free | Free | Free | - |
|
||||
| Ling 3.0 Flash Fin Free | Free | Free | Free | - |
|
||||
| Nemotron 3 Ultra Free | Free | Free | Free | - |
|
||||
@@ -309,7 +307,6 @@ Credit card fees are passed along at cost (4.4% + $0.30 per transaction); we don
|
||||
|
||||
The free models:
|
||||
|
||||
- MiMo-V2.6-Flash Free is available on OpenCode for a limited time. The team is using this time to collect feedback and improve the model.
|
||||
- MiMo-V2.5 Free is available on OpenCode for a limited time. The team is using this time to collect feedback and improve the model.
|
||||
- Ling 3.0 Flash Fin Free is available on OpenCode for a limited time. The team is using this time to collect feedback and improve the model.
|
||||
- Nemotron 3 Ultra Free is available on OpenCode for a limited time. The team is using this time to collect feedback and improve the model.
|
||||
@@ -371,7 +368,6 @@ charging you more than $20 if your balance goes below $5.
|
||||
All our models are hosted in the US. Our providers follow a zero-retention policy and do not use your data for model training, with the following exceptions:
|
||||
|
||||
- Big Pickle: During its free period, collected data may be used to improve the model.
|
||||
- MiMo-V2.6-Flash Free: During its free period, collected data may be used to improve the model.
|
||||
- MiMo-V2.5 Free: During its free period, collected data may be used to improve the model.
|
||||
- Ling 3.0 Flash Fin Free: During its free period, collected data may be used to improve the model.
|
||||
- Nemotron 3 Ultra Free (NVIDIA free endpoints): Trial use only — do not submit personal or confidential data. Your use is logged for security purposes and to improve NVIDIA products and services. The logged session data for improvement purposes is not linked to your identity or any persistent identifier. For more information about our data processing practices, see our [Privacy Policy](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). By interacting with this endpoint, you consent to our collection, recording, and use of such information and the [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf).
|
||||
|
||||
@@ -60,8 +60,6 @@ OpenCode Go 的工作方式与 OpenCode 中的其他提供商一样。
|
||||
- **Kimi K2.7 Code**
|
||||
- **Kimi K2.6**
|
||||
- **LongCat-2.0**
|
||||
- **MiMo-V2.6-Flash**
|
||||
- **MiMo-V2.6-Pro**
|
||||
- **MiMo-V2.5**
|
||||
- **MiMo-V2.5-Pro**
|
||||
- **MiniMax M3**
|
||||
@@ -145,10 +143,8 @@ Token 价格按每 1M tokens 列示。
|
||||
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - | **$60** |
|
||||
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - | **$60** |
|
||||
| LongCat-2.0 | $0.30 | $1.20 | $0.006 | - | **$60** |
|
||||
| MiMo-V2.6-Flash | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo-V2.6-Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiMo-V2.5 | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo-V2.5-Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo V2.5 Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | **$60** |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | **$60** |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | **$60** |
|
||||
@@ -196,8 +192,6 @@ Token 价格按每 1M tokens 列示。
|
||||
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| LongCat-2.0 | 11,400 | 28,600 | 57,200 |
|
||||
| MiMo-V2.6-Flash | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.6-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
@@ -232,8 +226,6 @@ Token 价格按每 1M tokens 列示。
|
||||
- DeepSeek V4 Pro — 每次请求 750 个输入 token，82,000 个缓存 token，290 个输出 token
|
||||
- DeepSeek V4 Flash — 每次请求 410 个输入 token，71,300 个缓存 token，310 个输出 token
|
||||
- DeepSeek V4 Flash Vision Exp — 每次请求 410 个输入 token，71,300 个缓存 token，310 个输出 token
|
||||
- MiMo-V2.6-Flash — 每次请求 830 个输入 token，71,500 个缓存 token，295 个输出 token
|
||||
- MiMo-V2.6-Pro — 每次请求 790 个输入 token，86,000 个缓存 token，305 个输出 token
|
||||
- MiMo-V2.5 — 每次请求 830 个输入 token，71,500 个缓存 token，295 个输出 token
|
||||
- MiMo-V2.5-Pro — 每次请求 790 个输入 token，86,000 个缓存 token，305 个输出 token
|
||||
- MiniMax M3 — 每次请求 510 个输入 token，56,000 个缓存 token，190 个输出 token
|
||||
@@ -297,8 +289,6 @@ Token 价格按每 1M tokens 列示。
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash Vision Exp | deepseek-v4-flash-vision-exp | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Flash | mimo-v2.6-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Pro | mimo-v2.6-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -343,8 +333,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| Kimi K2.7 Code | 不使用 | 0 天 |
|
||||
| Kimi K2.6 | 不使用 | 0 天 |
|
||||
| LongCat-2.0 | 不使用 | 0 天 |
|
||||
| MiMo-V2.6-Pro | 不使用 | 0 天 |
|
||||
| MiMo-V2.6-Flash | 不使用 | 0 天 |
|
||||
| MiMo-V2.5-Pro | 不使用 | 0 天 |
|
||||
| MiMo-V2.5 | 不使用 | 0 天 |
|
||||
| Qwen3.8 Max | 不使用 | 0 天 |
|
||||
|
||||
@@ -120,7 +120,6 @@ OpenCode Zen 的工作方式与 OpenCode 中的任何其他提供商相同。
|
||||
| Jev 1.13 | jev-1.13 | `https://opencode.ai/zen/v1/systemone` | - |
|
||||
| Jev 1.13 Free | jev-1.13-free | `https://opencode.ai/zen/v1/systemone` | - |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Flash Free | mimo-v2.6-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Ling 3.0 Flash Fin Free | ling-3.0-flash-fin-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
@@ -202,7 +201,6 @@ curl https://opencode.ai/zen/v1/systemone \
|
||||
| 模型 | 输入 | 输出 | 缓存读取 | 缓存写入 |
|
||||
| --------------------------------- | ------ | ------- | -------- | -------- |
|
||||
| Big Pickle | Free | Free | Free | - |
|
||||
| MiMo-V2.6-Flash Free | Free | Free | Free | - |
|
||||
| MiMo-V2.5 Free | Free | Free | Free | - |
|
||||
| Ling 3.0 Flash Fin Free | Free | Free | Free | - |
|
||||
| Nemotron 3 Ultra Free | Free | Free | Free | - |
|
||||
@@ -298,7 +296,6 @@ curl https://opencode.ai/zen/v1/systemone \
|
||||
|
||||
免费模型：
|
||||
|
||||
- MiMo-V2.6-Flash Free 目前在 OpenCode 上限时免费提供。团队正在利用这段时间收集反馈并改进模型。
|
||||
- MiMo-V2.5 Free 目前在 OpenCode 上限时免费提供。团队正在利用这段时间收集反馈并改进模型。
|
||||
- Ling 3.0 Flash Fin Free 目前在 OpenCode 上限时免费提供。团队正在利用这段时间收集反馈并改进模型。
|
||||
- Nemotron 3 Ultra Free 目前在 OpenCode 上限时免费提供。团队正在利用这段时间收集反馈并改进模型。
|
||||
@@ -357,7 +354,6 @@ curl https://opencode.ai/zen/v1/systemone \
|
||||
我们所有模型都托管在 US。我们的提供商遵循零保留政策，不会将你的数据用于模型训练，但以下情况除外：
|
||||
|
||||
- Big Pickle：在免费期间，收集的数据可能会被用于改进模型。
|
||||
- MiMo-V2.6-Flash Free：在免费期间，收集的数据可能会被用于改进模型。
|
||||
- MiMo-V2.5 Free：在免费期间，收集的数据可能会被用于改进模型。
|
||||
- Ling 3.0 Flash Fin Free：在免费期间，收集的数据可能会被用于改进模型。
|
||||
- Nemotron 3 Ultra Free（NVIDIA 免费端点）：仅供试用 — 请勿提交个人或机密数据。出于安全目的以及为改进 NVIDIA 产品和服务，系统会记录你的使用情况。出于改进目的而记录的会话数据不会与你的身份或任何持久标识符相关联。有关我们数据处理实践的更多信息，请参阅我们的[隐私政策](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf)。与此端点进行交互，即表示你同意我们收集、记录和使用此类信息，并同意 [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf)。
|
||||
|
||||
@@ -60,8 +60,6 @@ OpenCode Go 的運作方式與 OpenCode 中的任何其他供應商相同。
|
||||
- **Kimi K2.7 Code**
|
||||
- **Kimi K2.6**
|
||||
- **LongCat-2.0**
|
||||
- **MiMo-V2.6-Flash**
|
||||
- **MiMo-V2.6-Pro**
|
||||
- **MiMo-V2.5**
|
||||
- **MiMo-V2.5-Pro**
|
||||
- **MiniMax M3**
|
||||
@@ -145,10 +143,8 @@ Token 價格按每 1M tokens 列示。
|
||||
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - | **$60** |
|
||||
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - | **$60** |
|
||||
| LongCat-2.0 | $0.30 | $1.20 | $0.006 | - | **$60** |
|
||||
| MiMo-V2.6-Flash | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo-V2.6-Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiMo-V2.5 | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo-V2.5-Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - | **$60** |
|
||||
| MiMo V2.5 Pro | $0.435 | $0.87 | $0.003625 | - | **$15** |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | **$60** |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | **$60** |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | **$60** |
|
||||
@@ -196,8 +192,6 @@ Token 價格按每 1M tokens 列示。
|
||||
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| LongCat-2.0 | 11,400 | 28,600 | 57,200 |
|
||||
| MiMo-V2.6-Flash | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.6-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
@@ -243,8 +237,6 @@ Token 價格按每 1M tokens 列示。
|
||||
- Qwen3.6 Plus — 每次請求 500 個輸入 token、57,000 個快取 token、190 個輸出 token
|
||||
- Hy4 preview — 每次請求 830 個輸入 token、71,500 個快取 token、295 個輸出 token
|
||||
- Hy3 — 每次請求 830 個輸入 token、71,500 個快取 token、295 個輸出 token
|
||||
- MiMo-V2.6-Flash — 每次請求 830 個輸入 token、71,500 個快取 token、295 個輸出 token
|
||||
- MiMo-V2.6-Pro — 每次請求 790 個輸入 token、86,000 個快取 token、305 個輸出 token
|
||||
- MiMo-V2.5 — 每次請求 830 個輸入 token、71,500 個快取 token、295 個輸出 token
|
||||
- MiMo-V2.5-Pro — 每次請求 790 個輸入 token、86,000 個快取 token、305 個輸出 token
|
||||
|
||||
@@ -297,8 +289,6 @@ Token 價格按每 1M tokens 列示。
|
||||
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| DeepSeek V4 Flash Vision Exp | deepseek-v4-flash-vision-exp | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Flash | mimo-v2.6-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Pro | mimo-v2.6-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -343,8 +333,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| Kimi K2.7 Code | 不使用 | 0 天 |
|
||||
| Kimi K2.6 | 不使用 | 0 天 |
|
||||
| LongCat-2.0 | 不使用 | 0 天 |
|
||||
| MiMo-V2.6-Pro | 不使用 | 0 天 |
|
||||
| MiMo-V2.6-Flash | 不使用 | 0 天 |
|
||||
| MiMo-V2.5-Pro | 不使用 | 0 天 |
|
||||
| MiMo-V2.5 | 不使用 | 0 天 |
|
||||
| Qwen3.8 Max | 不使用 | 0 天 |
|
||||
|
||||
@@ -124,7 +124,6 @@ OpenCode Zen 的運作方式和 OpenCode 中的其他供應商一樣。
|
||||
| Jev 1.13 | jev-1.13 | `https://opencode.ai/zen/v1/systemone` | - |
|
||||
| Jev 1.13 Free | jev-1.13-free | `https://opencode.ai/zen/v1/systemone` | - |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.6-Flash Free | mimo-v2.6-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Ling 3.0 Flash Fin Free | ling-3.0-flash-fin-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Nemotron 3 Ultra Free | nemotron-3-ultra-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
@@ -207,7 +206,6 @@ curl https://opencode.ai/zen/v1/systemone \
|
||||
| 模型 | 輸入 | 輸出 | 快取讀取 | 快取寫入 |
|
||||
| --------------------------------- | ------ | ------- | -------- | -------- |
|
||||
| Big Pickle | Free | Free | Free | - |
|
||||
| MiMo-V2.6-Flash Free | Free | Free | Free | - |
|
||||
| MiMo-V2.5 Free | Free | Free | Free | - |
|
||||
| Ling 3.0 Flash Fin Free | Free | Free | Free | - |
|
||||
| Nemotron 3 Ultra Free | Free | Free | Free | - |
|
||||
@@ -303,7 +301,6 @@ curl https://opencode.ai/zen/v1/systemone \
|
||||
|
||||
免費模型：
|
||||
|
||||
- MiMo-V2.6-Flash Free 在 OpenCode 上限時提供。團隊正在利用這段時間收集回饋並改進模型。
|
||||
- MiMo-V2.5 Free 在 OpenCode 上限時提供。團隊正在利用這段時間收集回饋並改進模型。
|
||||
- Ling 3.0 Flash Fin Free 在 OpenCode 上限時提供。團隊正在利用這段時間收集回饋並改進模型。
|
||||
- Nemotron 3 Ultra Free 在 OpenCode 上限時提供。團隊正在利用這段時間收集回饋並改進模型。
|
||||
@@ -363,7 +360,6 @@ curl https://opencode.ai/zen/v1/systemone \
|
||||
我們所有模型都託管於美國。我們的供應商遵循零保留政策，且不會將你的資料用於模型訓練，但以下情況除外：
|
||||
|
||||
- Big Pickle: 在免費期間，收集到的資料可能會用於改進模型。
|
||||
- MiMo-V2.6-Flash Free: 在免費期間，收集到的資料可能會用於改進模型。
|
||||
- MiMo-V2.5 Free: 在免費期間，收集到的資料可能會用於改進模型。
|
||||
- Ling 3.0 Flash Fin Free: 在免費期間，收集到的資料可能會用於改進模型。
|
||||
- Nemotron 3 Ultra Free（NVIDIA 免費端點）：僅供試用 — 請勿提交個人或機密資料。基於安全目的以及為了改進 NVIDIA 產品與服務，系統會記錄你的使用情況。基於改進目的而記錄的工作階段資料不會與你的身分或任何持久識別碼相關聯。有關我們資料處理實務的更多資訊，請參閱我們的[隱私政策](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf)。與此端點進行互動，即表示你同意我們收集、記錄與使用此類資訊，並同意 [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf)。
|
||||
|
||||
@@ -2,7 +2,7 @@
|
||||
"name": "opencode",
|
||||
"displayName": "opencode",
|
||||
"description": "opencode for VS Code",
|
||||
"version": "1.18.32",
|
||||
"version": "1.18.31",
|
||||
"publisher": "sst-dev",
|
||||
"repository": {
|
||||
"type": "git",
|
||||
|
||||
Reference in New Issue
Block a user