mirror of
https://github.com/anomalyco/opencode.git
synced 2026-03-06 06:33:59 +00:00
Compare commits
10 Commits
v1.2.18
...
github-v1.
| Author | SHA1 | Date | |
|---|---|---|---|
|
3ebba02d04 | ||
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cf425d114e | ||
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39691e5174 | ||
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adaee66364 | ||
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a6978167ae | ||
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80c36c788c | ||
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76cdc668e8 | ||
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2ba1ecabc9 | ||
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e3b6d84b57 | ||
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0638e49b02 |
@@ -8,6 +8,7 @@ import type { Context as GitHubContext } from "@actions/github/lib/context"
|
||||
import type { IssueCommentEvent, PullRequestReviewCommentEvent } from "@octokit/webhooks-types"
|
||||
import { createOpencodeClient } from "@opencode-ai/sdk"
|
||||
import { spawn } from "node:child_process"
|
||||
import { setTimeout as sleep } from "node:timers/promises"
|
||||
|
||||
type GitHubAuthor = {
|
||||
login: string
|
||||
@@ -281,7 +282,7 @@ async function assertOpencodeConnected() {
|
||||
connected = true
|
||||
break
|
||||
} catch (e) {}
|
||||
await Bun.sleep(300)
|
||||
await sleep(300)
|
||||
} while (retry++ < 30)
|
||||
|
||||
if (!connected) {
|
||||
|
||||
@@ -22,7 +22,7 @@ import { ResizeHandle } from "@opencode-ai/ui/resize-handle"
|
||||
import { Button } from "@opencode-ai/ui/button"
|
||||
import { Icon } from "@opencode-ai/ui/icon"
|
||||
import { IconButton } from "@opencode-ai/ui/icon-button"
|
||||
import { Tooltip, TooltipKeybind } from "@opencode-ai/ui/tooltip"
|
||||
import { Tooltip } from "@opencode-ai/ui/tooltip"
|
||||
import { DropdownMenu } from "@opencode-ai/ui/dropdown-menu"
|
||||
import { Dialog } from "@opencode-ai/ui/dialog"
|
||||
import { getFilename } from "@opencode-ai/util/path"
|
||||
@@ -1937,20 +1937,14 @@ export default function Layout(props: ParentProps) {
|
||||
fallback={
|
||||
<>
|
||||
<div class="shrink-0 py-4 px-3">
|
||||
<TooltipKeybind
|
||||
title={language.t("command.session.new")}
|
||||
keybind={command.keybind("session.new")}
|
||||
placement="top"
|
||||
<Button
|
||||
size="large"
|
||||
icon="plus-small"
|
||||
class="w-full"
|
||||
onClick={() => navigateWithSidebarReset(`/${base64Encode(p.worktree)}/session`)}
|
||||
>
|
||||
<Button
|
||||
size="large"
|
||||
icon="plus-small"
|
||||
class="w-full"
|
||||
onClick={() => navigateWithSidebarReset(`/${base64Encode(p.worktree)}/session`)}
|
||||
>
|
||||
{language.t("command.session.new")}
|
||||
</Button>
|
||||
</TooltipKeybind>
|
||||
{language.t("command.session.new")}
|
||||
</Button>
|
||||
</div>
|
||||
<div class="flex-1 min-h-0">
|
||||
<LocalWorkspace
|
||||
@@ -1965,15 +1959,9 @@ export default function Layout(props: ParentProps) {
|
||||
>
|
||||
<>
|
||||
<div class="shrink-0 py-4 px-3">
|
||||
<TooltipKeybind
|
||||
title={language.t("workspace.new")}
|
||||
keybind={command.keybind("workspace.new")}
|
||||
placement="top"
|
||||
>
|
||||
<Button size="large" icon="plus-small" class="w-full" onClick={() => createWorkspace(p)}>
|
||||
{language.t("workspace.new")}
|
||||
</Button>
|
||||
</TooltipKeybind>
|
||||
<Button size="large" icon="plus-small" class="w-full" onClick={() => createWorkspace(p)}>
|
||||
{language.t("workspace.new")}
|
||||
</Button>
|
||||
</div>
|
||||
<div class="relative flex-1 min-h-0">
|
||||
<DragDropProvider
|
||||
|
||||
@@ -720,6 +720,7 @@ export default function Page() {
|
||||
showAllFiles,
|
||||
tabForPath: file.tab,
|
||||
openTab: tabs().open,
|
||||
setActive: tabs().setActive,
|
||||
loadFile: file.load,
|
||||
})
|
||||
|
||||
|
||||
@@ -11,12 +11,13 @@ describe("createOpenReviewFile", () => {
|
||||
return `file://${path}`
|
||||
},
|
||||
openTab: (tab) => calls.push(`open:${tab}`),
|
||||
setActive: (tab) => calls.push(`active:${tab}`),
|
||||
loadFile: (path) => calls.push(`load:${path}`),
|
||||
})
|
||||
|
||||
openReviewFile("src/a.ts")
|
||||
|
||||
expect(calls).toEqual(["show", "load:src/a.ts", "tab:src/a.ts", "open:file://src/a.ts"])
|
||||
expect(calls).toEqual(["show", "load:src/a.ts", "tab:src/a.ts", "open:file://src/a.ts", "active:file://src/a.ts"])
|
||||
})
|
||||
})
|
||||
|
||||
|
||||
@@ -24,15 +24,20 @@ export const createOpenReviewFile = (input: {
|
||||
showAllFiles: () => void
|
||||
tabForPath: (path: string) => string
|
||||
openTab: (tab: string) => void
|
||||
setActive: (tab: string) => void
|
||||
loadFile: (path: string) => any | Promise<void>
|
||||
}) => {
|
||||
return (path: string) => {
|
||||
batch(() => {
|
||||
input.showAllFiles()
|
||||
const maybePromise = input.loadFile(path)
|
||||
const openTab = () => input.openTab(input.tabForPath(path))
|
||||
if (maybePromise instanceof Promise) maybePromise.then(openTab)
|
||||
else openTab()
|
||||
const open = () => {
|
||||
const tab = input.tabForPath(path)
|
||||
input.openTab(tab)
|
||||
input.setActive(tab)
|
||||
}
|
||||
if (maybePromise instanceof Promise) maybePromise.then(open)
|
||||
else open()
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
import { For, createEffect, createMemo, on, onCleanup, Show, startTransition, Index, type JSX } from "solid-js"
|
||||
import { For, createEffect, createMemo, on, onCleanup, Show, Index, type JSX } from "solid-js"
|
||||
import { createStore, produce } from "solid-js/store"
|
||||
import { useNavigate, useParams } from "@solidjs/router"
|
||||
import { Button } from "@opencode-ai/ui/button"
|
||||
@@ -160,7 +160,7 @@ function createTimelineStaging(input: TimelineStageInput) {
|
||||
}
|
||||
const currentTotal = input.messages().length
|
||||
count = Math.min(currentTotal, count + input.config.batch)
|
||||
startTransition(() => setState("count", count))
|
||||
setState("count", count)
|
||||
if (count >= currentTotal) {
|
||||
setState({ completedSession: sessionKey, activeSession: "" })
|
||||
frame = undefined
|
||||
|
||||
@@ -108,6 +108,26 @@ const DOCS_SEGMENT = new Set([
|
||||
"zh-tw",
|
||||
])
|
||||
|
||||
const DOCS_LOCALE = {
|
||||
ar: "ar",
|
||||
da: "da",
|
||||
de: "de",
|
||||
en: "en",
|
||||
es: "es",
|
||||
fr: "fr",
|
||||
it: "it",
|
||||
ja: "ja",
|
||||
ko: "ko",
|
||||
nb: "no",
|
||||
"pt-br": "br",
|
||||
root: "en",
|
||||
ru: "ru",
|
||||
th: "th",
|
||||
tr: "tr",
|
||||
"zh-cn": "zh",
|
||||
"zh-tw": "zht",
|
||||
} as const satisfies Record<string, Locale>
|
||||
|
||||
function suffix(pathname: string) {
|
||||
const index = pathname.search(/[?#]/)
|
||||
if (index === -1) {
|
||||
@@ -130,7 +150,12 @@ export function docs(locale: Locale, pathname: string) {
|
||||
return `${next.path}${next.suffix}`
|
||||
}
|
||||
|
||||
if (value === "root") return `${next.path}${next.suffix}`
|
||||
if (value === "root") {
|
||||
if (next.path === "/docs/en") return `/docs${next.suffix}`
|
||||
if (next.path === "/docs/en/") return `/docs/${next.suffix}`
|
||||
if (next.path.startsWith("/docs/en/")) return `/docs/${next.path.slice("/docs/en/".length)}${next.suffix}`
|
||||
return `${next.path}${next.suffix}`
|
||||
}
|
||||
|
||||
if (next.path === "/docs") return `/docs/${value}${next.suffix}`
|
||||
if (next.path === "/docs/") return `/docs/${value}/${next.suffix}`
|
||||
@@ -154,6 +179,15 @@ export function fromPathname(pathname: string) {
|
||||
return parseLocale(fix(pathname).split("/")[1])
|
||||
}
|
||||
|
||||
export function fromDocsPathname(pathname: string) {
|
||||
const next = fix(pathname)
|
||||
const value = next.split("/")[2]?.toLowerCase()
|
||||
if (!value) return null
|
||||
if (!next.startsWith("/docs/")) return null
|
||||
if (!(value in DOCS_LOCALE)) return null
|
||||
return DOCS_LOCALE[value as keyof typeof DOCS_LOCALE]
|
||||
}
|
||||
|
||||
export function strip(pathname: string) {
|
||||
const locale = fromPathname(pathname)
|
||||
if (!locale) return fix(pathname)
|
||||
@@ -272,6 +306,9 @@ export function localeFromRequest(request: Request) {
|
||||
const fromPath = fromPathname(new URL(request.url).pathname)
|
||||
if (fromPath) return fromPath
|
||||
|
||||
const fromDocsPath = fromDocsPathname(new URL(request.url).pathname)
|
||||
if (fromDocsPath) return fromDocsPath
|
||||
|
||||
return (
|
||||
localeFromCookieHeader(request.headers.get("cookie")) ??
|
||||
detectFromAcceptLanguage(request.headers.get("accept-language"))
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
import type { APIEvent } from "@solidjs/start/server"
|
||||
import { Resource } from "@opencode-ai/console-resource"
|
||||
import { docs, localeFromRequest, tag } from "~/lib/language"
|
||||
import { cookie, docs, localeFromRequest, tag } from "~/lib/language"
|
||||
|
||||
async function handler(evt: APIEvent) {
|
||||
const req = evt.request.clone()
|
||||
@@ -17,7 +17,9 @@ async function handler(evt: APIEvent) {
|
||||
headers,
|
||||
body: req.body,
|
||||
})
|
||||
return response
|
||||
const next = new Response(response.body, response)
|
||||
next.headers.append("set-cookie", cookie(locale))
|
||||
return next
|
||||
}
|
||||
|
||||
export const GET = handler
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
import type { APIEvent } from "@solidjs/start/server"
|
||||
import { Resource } from "@opencode-ai/console-resource"
|
||||
import { docs, localeFromRequest, tag } from "~/lib/language"
|
||||
import { cookie, docs, localeFromRequest, tag } from "~/lib/language"
|
||||
|
||||
async function handler(evt: APIEvent) {
|
||||
const req = evt.request.clone()
|
||||
@@ -17,7 +17,9 @@ async function handler(evt: APIEvent) {
|
||||
headers,
|
||||
body: req.body,
|
||||
})
|
||||
return response
|
||||
const next = new Response(response.body, response)
|
||||
next.headers.append("set-cookie", cookie(locale))
|
||||
return next
|
||||
}
|
||||
|
||||
export const GET = handler
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
import type { APIEvent } from "@solidjs/start/server"
|
||||
import { Resource } from "@opencode-ai/console-resource"
|
||||
import { docs, localeFromRequest, tag } from "~/lib/language"
|
||||
import { cookie, docs, localeFromRequest, tag } from "~/lib/language"
|
||||
|
||||
async function handler(evt: APIEvent) {
|
||||
const req = evt.request.clone()
|
||||
@@ -17,7 +17,9 @@ async function handler(evt: APIEvent) {
|
||||
headers,
|
||||
body: req.body,
|
||||
})
|
||||
return response
|
||||
const next = new Response(response.body, response)
|
||||
next.headers.append("set-cookie", cookie(locale))
|
||||
return next
|
||||
}
|
||||
|
||||
export const GET = handler
|
||||
|
||||
@@ -13,6 +13,7 @@ import { Instance } from "../../project/instance"
|
||||
import type { Hooks } from "@opencode-ai/plugin"
|
||||
import { Process } from "../../util/process"
|
||||
import { text } from "node:stream/consumers"
|
||||
import { setTimeout as sleep } from "node:timers/promises"
|
||||
|
||||
type PluginAuth = NonNullable<Hooks["auth"]>
|
||||
|
||||
@@ -47,7 +48,7 @@ async function handlePluginAuth(plugin: { auth: PluginAuth }, provider: string,
|
||||
const method = plugin.auth.methods[index]
|
||||
|
||||
// Handle prompts for all auth types
|
||||
await Bun.sleep(10)
|
||||
await sleep(10)
|
||||
const inputs: Record<string, string> = {}
|
||||
if (method.prompts) {
|
||||
for (const prompt of method.prompts) {
|
||||
|
||||
@@ -3,6 +3,7 @@ import { bootstrap } from "../../bootstrap"
|
||||
import { cmd } from "../cmd"
|
||||
import { Log } from "../../../util/log"
|
||||
import { EOL } from "os"
|
||||
import { setTimeout as sleep } from "node:timers/promises"
|
||||
|
||||
export const LSPCommand = cmd({
|
||||
command: "lsp",
|
||||
@@ -19,7 +20,7 @@ const DiagnosticsCommand = cmd({
|
||||
async handler(args) {
|
||||
await bootstrap(process.cwd(), async () => {
|
||||
await LSP.touchFile(args.file, true)
|
||||
await Bun.sleep(1000)
|
||||
await sleep(1000)
|
||||
process.stdout.write(JSON.stringify(await LSP.diagnostics(), null, 2) + EOL)
|
||||
})
|
||||
},
|
||||
|
||||
@@ -28,6 +28,7 @@ import { Bus } from "../../bus"
|
||||
import { MessageV2 } from "../../session/message-v2"
|
||||
import { SessionPrompt } from "@/session/prompt"
|
||||
import { $ } from "bun"
|
||||
import { setTimeout as sleep } from "node:timers/promises"
|
||||
|
||||
type GitHubAuthor = {
|
||||
login: string
|
||||
@@ -353,7 +354,7 @@ export const GithubInstallCommand = cmd({
|
||||
}
|
||||
|
||||
retries++
|
||||
await Bun.sleep(1000)
|
||||
await sleep(1000)
|
||||
} while (true)
|
||||
|
||||
s.stop("Installed GitHub app")
|
||||
@@ -1372,7 +1373,7 @@ Co-authored-by: ${actor} <${actor}@users.noreply.github.com>"`
|
||||
} catch (e) {
|
||||
if (retries > 0) {
|
||||
console.log(`Retrying after ${delayMs}ms...`)
|
||||
await Bun.sleep(delayMs)
|
||||
await sleep(delayMs)
|
||||
return withRetry(fn, retries - 1, delayMs)
|
||||
}
|
||||
throw e
|
||||
|
||||
@@ -10,6 +10,7 @@ import { GlobalBus } from "@/bus/global"
|
||||
import { createOpencodeClient, type Event } from "@opencode-ai/sdk/v2"
|
||||
import type { BunWebSocketData } from "hono/bun"
|
||||
import { Flag } from "@/flag/flag"
|
||||
import { setTimeout as sleep } from "node:timers/promises"
|
||||
|
||||
await Log.init({
|
||||
print: process.argv.includes("--print-logs"),
|
||||
@@ -75,7 +76,7 @@ const startEventStream = (directory: string) => {
|
||||
).catch(() => undefined)
|
||||
|
||||
if (!events) {
|
||||
await Bun.sleep(250)
|
||||
await sleep(250)
|
||||
continue
|
||||
}
|
||||
|
||||
@@ -84,7 +85,7 @@ const startEventStream = (directory: string) => {
|
||||
}
|
||||
|
||||
if (!signal.aborted) {
|
||||
await Bun.sleep(250)
|
||||
await sleep(250)
|
||||
}
|
||||
}
|
||||
})().catch((error) => {
|
||||
|
||||
@@ -4,6 +4,7 @@ import { Installation } from "../installation"
|
||||
import { Auth, OAUTH_DUMMY_KEY } from "../auth"
|
||||
import os from "os"
|
||||
import { ProviderTransform } from "@/provider/transform"
|
||||
import { setTimeout as sleep } from "node:timers/promises"
|
||||
|
||||
const log = Log.create({ service: "plugin.codex" })
|
||||
|
||||
@@ -602,7 +603,7 @@ export async function CodexAuthPlugin(input: PluginInput): Promise<Hooks> {
|
||||
return { type: "failed" as const }
|
||||
}
|
||||
|
||||
await Bun.sleep(interval + OAUTH_POLLING_SAFETY_MARGIN_MS)
|
||||
await sleep(interval + OAUTH_POLLING_SAFETY_MARGIN_MS)
|
||||
}
|
||||
},
|
||||
}
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
import type { Hooks, PluginInput } from "@opencode-ai/plugin"
|
||||
import { Installation } from "@/installation"
|
||||
import { iife } from "@/util/iife"
|
||||
import { setTimeout as sleep } from "node:timers/promises"
|
||||
|
||||
const CLIENT_ID = "Ov23li8tweQw6odWQebz"
|
||||
// Add a small safety buffer when polling to avoid hitting the server
|
||||
@@ -270,7 +271,7 @@ export async function CopilotAuthPlugin(input: PluginInput): Promise<Hooks> {
|
||||
}
|
||||
|
||||
if (data.error === "authorization_pending") {
|
||||
await Bun.sleep(deviceData.interval * 1000 + OAUTH_POLLING_SAFETY_MARGIN_MS)
|
||||
await sleep(deviceData.interval * 1000 + OAUTH_POLLING_SAFETY_MARGIN_MS)
|
||||
continue
|
||||
}
|
||||
|
||||
@@ -286,13 +287,13 @@ export async function CopilotAuthPlugin(input: PluginInput): Promise<Hooks> {
|
||||
newInterval = serverInterval * 1000
|
||||
}
|
||||
|
||||
await Bun.sleep(newInterval + OAUTH_POLLING_SAFETY_MARGIN_MS)
|
||||
await sleep(newInterval + OAUTH_POLLING_SAFETY_MARGIN_MS)
|
||||
continue
|
||||
}
|
||||
|
||||
if (data.error) return { type: "failed" as const }
|
||||
|
||||
await Bun.sleep(deviceData.interval * 1000 + OAUTH_POLLING_SAFETY_MARGIN_MS)
|
||||
await sleep(deviceData.interval * 1000 + OAUTH_POLLING_SAFETY_MARGIN_MS)
|
||||
continue
|
||||
}
|
||||
},
|
||||
|
||||
@@ -3,6 +3,7 @@ import { lazy } from "@/util/lazy"
|
||||
import { Filesystem } from "@/util/filesystem"
|
||||
import path from "path"
|
||||
import { spawn, type ChildProcess } from "child_process"
|
||||
import { setTimeout as sleep } from "node:timers/promises"
|
||||
|
||||
const SIGKILL_TIMEOUT_MS = 200
|
||||
|
||||
@@ -22,13 +23,13 @@ export namespace Shell {
|
||||
|
||||
try {
|
||||
process.kill(-pid, "SIGTERM")
|
||||
await Bun.sleep(SIGKILL_TIMEOUT_MS)
|
||||
await sleep(SIGKILL_TIMEOUT_MS)
|
||||
if (!opts?.exited?.()) {
|
||||
process.kill(-pid, "SIGKILL")
|
||||
}
|
||||
} catch (_e) {
|
||||
proc.kill("SIGTERM")
|
||||
await Bun.sleep(SIGKILL_TIMEOUT_MS)
|
||||
await sleep(SIGKILL_TIMEOUT_MS)
|
||||
if (!opts?.exited?.()) {
|
||||
proc.kill("SIGKILL")
|
||||
}
|
||||
|
||||
@@ -3,6 +3,7 @@
|
||||
import os from "os"
|
||||
import path from "path"
|
||||
import fs from "fs/promises"
|
||||
import { setTimeout as sleep } from "node:timers/promises"
|
||||
import { afterAll } from "bun:test"
|
||||
|
||||
// Set XDG env vars FIRST, before any src/ imports
|
||||
@@ -15,7 +16,7 @@ afterAll(async () => {
|
||||
typeof error === "object" && error !== null && "code" in error && error.code === "EBUSY"
|
||||
const rm = async (left: number): Promise<void> => {
|
||||
Bun.gc(true)
|
||||
await Bun.sleep(100)
|
||||
await sleep(100)
|
||||
return fs.rm(dir, { recursive: true, force: true }).catch((error) => {
|
||||
if (!busy(error)) throw error
|
||||
if (left <= 1) throw error
|
||||
|
||||
@@ -2,6 +2,7 @@ import { describe, expect, test } from "bun:test"
|
||||
import { Instance } from "../../src/project/instance"
|
||||
import { Pty } from "../../src/pty"
|
||||
import { tmpdir } from "../fixture/fixture"
|
||||
import { setTimeout as sleep } from "node:timers/promises"
|
||||
|
||||
describe("pty", () => {
|
||||
test("does not leak output when websocket objects are reused", async () => {
|
||||
@@ -43,7 +44,7 @@ describe("pty", () => {
|
||||
|
||||
// Output from a must never show up in b.
|
||||
Pty.write(a.id, "AAA\n")
|
||||
await Bun.sleep(100)
|
||||
await sleep(100)
|
||||
|
||||
expect(outB.join("")).not.toContain("AAA")
|
||||
} finally {
|
||||
@@ -88,7 +89,7 @@ describe("pty", () => {
|
||||
}
|
||||
|
||||
Pty.write(a.id, "AAA\n")
|
||||
await Bun.sleep(100)
|
||||
await sleep(100)
|
||||
|
||||
expect(outB.join("")).not.toContain("AAA")
|
||||
} finally {
|
||||
@@ -128,7 +129,7 @@ describe("pty", () => {
|
||||
ctx.connId = 2
|
||||
|
||||
Pty.write(a.id, "AAA\n")
|
||||
await Bun.sleep(100)
|
||||
await sleep(100)
|
||||
|
||||
expect(out.join("")).toContain("AAA")
|
||||
} finally {
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
import { describe, expect, test } from "bun:test"
|
||||
import type { NamedError } from "@opencode-ai/util/error"
|
||||
import { APICallError } from "ai"
|
||||
import { setTimeout as sleep } from "node:timers/promises"
|
||||
import { SessionRetry } from "../../src/session/retry"
|
||||
import { MessageV2 } from "../../src/session/message-v2"
|
||||
|
||||
@@ -135,7 +136,7 @@ describe("session.message-v2.fromError", () => {
|
||||
new ReadableStream({
|
||||
async pull(controller) {
|
||||
controller.enqueue("Hello,")
|
||||
await Bun.sleep(10000)
|
||||
await sleep(10000)
|
||||
controller.enqueue(" World!")
|
||||
controller.close()
|
||||
},
|
||||
|
||||
@@ -59,6 +59,7 @@ OpenCode Zen هو بوابة للذكاء الاصطناعي تتيح لك ال
|
||||
|
||||
| النموذج | معرّف النموذج | نقطة النهاية | حزمة AI SDK |
|
||||
| ------------------ | ------------------ | -------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
@@ -141,6 +142,7 @@ https://opencode.ai/zen/v1/models
|
||||
| Gemini 3 Pro (≤ 200K tokens) | $2.00 | $12.00 | $0.20 | - |
|
||||
| Gemini 3 Pro (> 200K tokens) | $4.00 | $18.00 | $0.40 | - |
|
||||
| Gemini 3 Flash | $0.50 | $3.00 | $0.05 | - |
|
||||
| GPT 5.4 | $2.50 | $15.00 | $0.25 | - |
|
||||
| GPT 5.3 Codex | $1.75 | $14.00 | $0.175 | - |
|
||||
| GPT 5.2 | $1.75 | $14.00 | $0.175 | - |
|
||||
| GPT 5.2 Codex | $1.75 | $14.00 | $0.175 | - |
|
||||
@@ -184,6 +186,19 @@ https://opencode.ai/zen/v1/models
|
||||
|
||||
---
|
||||
|
||||
### نماذج مهملة
|
||||
|
||||
| النموذج | تاريخ الإيقاف |
|
||||
| ---------------- | ------------- |
|
||||
| Qwen3 Coder 480B | 6 فبراير 2026 |
|
||||
| Kimi K2 Thinking | 6 مارس 2026 |
|
||||
| Kimi K2 | 6 مارس 2026 |
|
||||
| MiniMax M2.1 | 15 مارس 2026 |
|
||||
| GLM 4.7 | 15 مارس 2026 |
|
||||
| GLM 4.6 | 15 مارس 2026 |
|
||||
|
||||
---
|
||||
|
||||
## الخصوصية
|
||||
|
||||
تتم استضافة جميع نماذجنا في الولايات المتحدة. يلتزم مزوّدونا بسياسة عدم الاحتفاظ بالبيانات (zero-retention) ولا يستخدمون بياناتك لتدريب النماذج، مع الاستثناءات التالية:
|
||||
|
||||
@@ -55,6 +55,7 @@ Nasim modelima mozete pristupiti i preko sljedecih API endpointa.
|
||||
|
||||
| Model | Model ID | Endpoint | AI SDK Package |
|
||||
| ------------------ | ------------------ | -------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
@@ -136,6 +137,7 @@ Podrzavamo pay-as-you-go model. Ispod su cijene **po 1M tokena**.
|
||||
| Gemini 3 Pro (≤ 200K tokens) | $2.00 | $12.00 | $0.20 | - |
|
||||
| Gemini 3 Pro (> 200K tokens) | $4.00 | $18.00 | $0.40 | - |
|
||||
| Gemini 3 Flash | $0.50 | $3.00 | $0.05 | - |
|
||||
| GPT 5.4 | $2.50 | $15.00 | $0.25 | - |
|
||||
| GPT 5.3 Codex | $1.75 | $14.00 | $0.175 | - |
|
||||
| GPT 5.2 | $1.75 | $14.00 | $0.175 | - |
|
||||
| GPT 5.2 Codex | $1.75 | $14.00 | $0.175 | - |
|
||||
@@ -178,6 +180,19 @@ Na primjer, ako postavite mjesecni limit na $20, Zen nece potrositi vise od $20
|
||||
|
||||
---
|
||||
|
||||
### Zastarjeli modeli
|
||||
|
||||
| Model | Datum ukidanja |
|
||||
| ---------------- | -------------- |
|
||||
| Qwen3 Coder 480B | 6. feb. 2026. |
|
||||
| Kimi K2 Thinking | 6. mart 2026. |
|
||||
| Kimi K2 | 6. mart 2026. |
|
||||
| MiniMax M2.1 | 15. mart 2026. |
|
||||
| GLM 4.7 | 15. mart 2026. |
|
||||
| GLM 4.6 | 15. mart 2026. |
|
||||
|
||||
---
|
||||
|
||||
## Privatnost
|
||||
|
||||
Svi nasi modeli su hostovani u SAD-u. Provajderi prate zero-retention politiku i ne koriste vase podatke za treniranje modela, uz sljedece izuzetke:
|
||||
|
||||
@@ -64,6 +64,7 @@ Du kan også få adgang til vores modeller gennem følgende API-endpoints.
|
||||
|
||||
| Model | Model ID | Endpoint | AI SDK Pakke |
|
||||
| ------------------- | ------------------ | -------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
@@ -147,6 +148,7 @@ Vi støtter en pay-as-you-go-model. Nedenfor er priserne **per 1 million tokens*
|
||||
| Gemini 3 Pro (≤ 200K tokens) | $2,00 | $12,00 | $0,20 | - |
|
||||
| Gemini 3 Pro (> 200K tokens) | $4,00 | $18,00 | $0,40 | - |
|
||||
| Gemini 3 Flash | $0,50 | $3,00 | $0,05 | - |
|
||||
| GPT 5.4 | $2,50 | $15,00 | $0,25 | - |
|
||||
| GPT 5.3 Codex | $1,75 | $14,00 | $0,175 | - |
|
||||
| GPT 5.2 | $1,75 | $14,00 | $0,175 | - |
|
||||
| GPT 5.2 Codex | $1,75 | $14,00 | $0,175 | - |
|
||||
@@ -192,6 +194,19 @@ at opkræve dig mere end $20, hvis din saldo går under $5.
|
||||
|
||||
---
|
||||
|
||||
### Udfasede modeller
|
||||
|
||||
| Model | Udfasningsdato |
|
||||
| ---------------- | -------------- |
|
||||
| Qwen3-koder 480B | 6. feb. 2026 |
|
||||
| Kimi K2 Tenker | 6. marts 2026 |
|
||||
| Kimi K2 | 6. marts 2026 |
|
||||
| MiniMax M2.1 | 15. marts 2026 |
|
||||
| GLM 4.7 | 15. marts 2026 |
|
||||
| GLM 4.6 | 15. marts 2026 |
|
||||
|
||||
---
|
||||
|
||||
## Privatliv
|
||||
|
||||
Alle vores modeller er hostet i USA. Vores udbydere følger en nul-opbevaringspolitik og bruger ikke dine data til modeltræning, med følgende undtagelser:
|
||||
|
||||
@@ -57,6 +57,7 @@ Du kannst unsere Modelle auch ueber die folgenden API-Endpunkte aufrufen.
|
||||
|
||||
| Model | Model ID | Endpoint | AI SDK Package |
|
||||
| ------------------ | ------------------ | -------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
@@ -114,12 +115,12 @@ Unten siehst du die Preise **pro 1 Mio. Tokens**.
|
||||
| --------------------------------- | ------ | ------ | ----------- | ------------ |
|
||||
| Big Pickle | Free | Free | Free | - |
|
||||
| MiniMax M2.5 Free | Free | Free | Free | - |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
|
||||
| MiniMax M2.1 | $0.30 | $1.20 | $0.10 | - |
|
||||
| GLM 5 | $1.00 | $3.20 | $0.20 | - |
|
||||
| GLM 4.7 | $0.60 | $2.20 | $0.10 | - |
|
||||
| GLM 4.6 | $0.60 | $2.20 | $0.10 | - |
|
||||
| Kimi K2.5 | $0.60 | $3.00 | $0.08 | - |
|
||||
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
|
||||
| Kimi K2 Thinking | $0.40 | $2.50 | - | - |
|
||||
| Kimi K2 | $0.40 | $2.50 | - | - |
|
||||
| Qwen3 Coder 480B | $0.45 | $1.50 | - | - |
|
||||
@@ -140,6 +141,7 @@ Unten siehst du die Preise **pro 1 Mio. Tokens**.
|
||||
| Gemini 3 Pro (≤ 200K tokens) | $2.00 | $12.00 | $0.20 | - |
|
||||
| Gemini 3 Pro (> 200K tokens) | $4.00 | $18.00 | $0.40 | - |
|
||||
| Gemini 3 Flash | $0.50 | $3.00 | $0.05 | - |
|
||||
| GPT 5.4 | $2.50 | $15.00 | $0.25 | - |
|
||||
| GPT 5.3 Codex | $1.75 | $14.00 | $0.175 | - |
|
||||
| GPT 5.2 | $1.75 | $14.00 | $0.175 | - |
|
||||
| GPT 5.2 Codex | $1.75 | $14.00 | $0.175 | - |
|
||||
@@ -184,6 +186,19 @@ Mit aktiviertem Auto-Reload kann die Abrechnung dennoch darueber liegen, falls d
|
||||
|
||||
---
|
||||
|
||||
### Veraltete Modelle
|
||||
|
||||
| Model | Datum der Abschaltung |
|
||||
| ---------------- | --------------------- |
|
||||
| Qwen3 Coder 480B | 6. Feb. 2026 |
|
||||
| Kimi K2 Thinking | 6. Maerz 2026 |
|
||||
| Kimi K2 | 6. Maerz 2026 |
|
||||
| MiniMax M2.1 | 15. Maerz 2026 |
|
||||
| GLM 4.7 | 15. Maerz 2026 |
|
||||
| GLM 4.6 | 15. Maerz 2026 |
|
||||
|
||||
---
|
||||
|
||||
## Datenschutz
|
||||
|
||||
Alle Modelle werden in den USA gehostet.
|
||||
|
||||
@@ -62,6 +62,7 @@ También puede acceder a nuestros modelos a través de los siguientes puntos fin
|
||||
|
||||
| Modelo | Model ID | Endpoint | AI SDK package |
|
||||
| ------------------ | ------------------ | -------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
@@ -145,6 +146,7 @@ Apoyamos un modelo de pago por uso. A continuación se muestran los precios **po
|
||||
| Gemini 3 Pro (≤ 200K tokens) | $2.00 | $12.00 | $0,20 | - |
|
||||
| Gemini 3 Pro (> 200K tokens) | $4.00 | $18.00 | $0,40 | - |
|
||||
| Gemini 3 Flash | $0,50 | $3.00 | $0,05 | - |
|
||||
| GPT 5.4 | $2,50 | $15,00 | $0,25 | - |
|
||||
| GPT 5.3 Codex | $1,75 | $14.00 | $0,175 | - |
|
||||
| GPT 5.2 | $1,75 | $14.00 | $0,175 | - |
|
||||
| GPT 5.2 Codex | $1,75 | $14.00 | $0,175 | - |
|
||||
@@ -190,6 +192,19 @@ cobrarle más de $20 si su saldo es inferior a $5.
|
||||
|
||||
---
|
||||
|
||||
### Modelos obsoletos
|
||||
|
||||
| Modelo | Fecha de retiro |
|
||||
| ---------------- | ------------------- |
|
||||
| Qwen3 Coder 480B | 6 de feb. de 2026 |
|
||||
| Kimi K2 Thinking | 6 de marzo de 2026 |
|
||||
| Kimi K2 | 6 de marzo de 2026 |
|
||||
| MiniMax M2.1 | 15 de marzo de 2026 |
|
||||
| GLM 4.7 | 15 de marzo de 2026 |
|
||||
| GLM 4.6 | 15 de marzo de 2026 |
|
||||
|
||||
---
|
||||
|
||||
## Privacidad
|
||||
|
||||
Todos nuestros modelos están alojados en los EE. UU. Nuestros proveedores siguen una política de retención cero y no utilizan sus datos para la capacitación de modelos, con las siguientes excepciones:
|
||||
|
||||
@@ -55,6 +55,7 @@ Vous pouvez également accéder à nos modèles via les points de terminaison AP
|
||||
|
||||
| Modèle | ID du modèle | Point de terminaison | Package SDK IA |
|
||||
| ------------------ | ------------------ | -------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
@@ -136,6 +137,7 @@ Nous soutenons un modèle de paiement à l'utilisation. Vous trouverez ci-dessou
|
||||
| Gemini 3 Pro (≤ 200K jetons) | 2,00 $ | 12,00 $ | 0,20 $ | - |
|
||||
| Gemini 3 Pro (> 200K jetons) | 4,00 $ | 18,00 $ | 0,40 $ | - |
|
||||
| Gemini 3 Flash | 0,50 $ | 3,00 $ | 0,05 $ | - |
|
||||
| GPT 5.4 | 2,50 $ | 15,00 $ | 0,25 $ | - |
|
||||
| GPT 5.3 Codex | 1,75 $ | 14,00 $ | 0,175 $ | - |
|
||||
| GPT 5.2 | 1,75 $ | 14,00 $ | 0,175 $ | - |
|
||||
| GPT 5.2 Codex | 1,75 $ | 14,00 $ | 0,175 $ | - |
|
||||
@@ -178,6 +180,19 @@ Par exemple, disons que vous définissez une limite d'utilisation mensuelle à 2
|
||||
|
||||
---
|
||||
|
||||
### Modèles obsolètes
|
||||
|
||||
| Modèle | Date de dépréciation |
|
||||
| ---------------- | -------------------- |
|
||||
| Qwen3 Coder 480B | 6 février 2026 |
|
||||
| Kimi K2 Thinking | 6 mars 2026 |
|
||||
| Kimi K2 | 6 mars 2026 |
|
||||
| MiniMax M2.1 | 15 mars 2026 |
|
||||
| GLM 4.7 | 15 mars 2026 |
|
||||
| GLM 4.6 | 15 mars 2026 |
|
||||
|
||||
---
|
||||
|
||||
## Confidentialité
|
||||
|
||||
Tous nos modèles sont hébergés aux États-Unis. Nos fournisseurs suivent une politique de rétention zéro et n'utilisent pas vos données pour la formation de modèles, avec les exceptions suivantes :
|
||||
|
||||
@@ -55,6 +55,7 @@ Puoi anche accedere ai nostri modelli tramite i seguenti endpoint API.
|
||||
|
||||
| Modello | ID modello | Endpoint | Pacchetto AI SDK |
|
||||
| ------------------ | ------------------ | -------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
@@ -136,6 +137,7 @@ Supportiamo un modello pay-as-you-go. Qui sotto trovi i prezzi **per 1M token**.
|
||||
| Gemini 3 Pro (≤ 200K tokens) | $2.00 | $12.00 | $0.20 | - |
|
||||
| Gemini 3 Pro (> 200K tokens) | $4.00 | $18.00 | $0.40 | - |
|
||||
| Gemini 3 Flash | $0.50 | $3.00 | $0.05 | - |
|
||||
| GPT 5.4 | $2.50 | $15.00 | $0.25 | - |
|
||||
| GPT 5.3 Codex | $1.75 | $14.00 | $0.175 | - |
|
||||
| GPT 5.2 | $1.75 | $14.00 | $0.175 | - |
|
||||
| GPT 5.2 Codex | $1.75 | $14.00 | $0.175 | - |
|
||||
@@ -178,6 +180,19 @@ Per esempio, se imposti un limite mensile a $20, Zen non usera piu di $20 in un
|
||||
|
||||
---
|
||||
|
||||
### Modelli deprecati
|
||||
|
||||
| Modello | Data di deprecazione |
|
||||
| ---------------- | -------------------- |
|
||||
| Qwen3 Coder 480B | 6 feb 2026 |
|
||||
| Kimi K2 Thinking | 6 mar 2026 |
|
||||
| Kimi K2 | 6 mar 2026 |
|
||||
| MiniMax M2.1 | 15 mar 2026 |
|
||||
| GLM 4.7 | 15 mar 2026 |
|
||||
| GLM 4.6 | 15 mar 2026 |
|
||||
|
||||
---
|
||||
|
||||
## Privacy
|
||||
|
||||
Tutti i nostri modelli sono ospitati negli US. I nostri provider seguono una policy di zero-retention e non usano i tuoi dati per training dei modelli, con le seguenti eccezioni:
|
||||
|
||||
@@ -54,6 +54,7 @@ OpenCode Zen は、OpenCode の他のプロバイダーと同様に機能しま
|
||||
|
||||
| Model | Model ID | Endpoint | AI SDK Package |
|
||||
| ------------------ | ------------------ | -------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
@@ -137,6 +138,7 @@ https://opencode.ai/zen/v1/models
|
||||
| Gemini 3 Pro (≤ 200K tokens) | $2.00 | $12.00 | $0.20 | - |
|
||||
| Gemini 3 Pro (> 200K tokens) | $4.00 | $18.00 | $0.40 | - |
|
||||
| Gemini 3 Flash | $0.50 | $3.00 | $0.05 | - |
|
||||
| GPT 5.4 | $2.50 | $15.00 | $0.25 | - |
|
||||
| GPT 5.3 Codex | $1.75 | $14.00 | $0.175 | - |
|
||||
| GPT 5.2 | $1.75 | $14.00 | $0.175 | - |
|
||||
| GPT 5.2 Codex | $1.75 | $14.00 | $0.175 | - |
|
||||
@@ -179,6 +181,19 @@ https://opencode.ai/zen/v1/models
|
||||
|
||||
---
|
||||
|
||||
### 非推奨モデル
|
||||
|
||||
| Model | Deprecation date |
|
||||
| ---------------- | ---------------- |
|
||||
| Qwen3 Coder 480B | 2026年2月6日 |
|
||||
| Kimi K2 Thinking | 2026年3月6日 |
|
||||
| Kimi K2 | 2026年3月6日 |
|
||||
| MiniMax M2.1 | 2026年3月15日 |
|
||||
| GLM 4.7 | 2026年3月15日 |
|
||||
| GLM 4.6 | 2026年3月15日 |
|
||||
|
||||
---
|
||||
|
||||
## プライバシー
|
||||
|
||||
すべてのモデルは米国でホストされています。当社のプロバイダーはゼロ保持ポリシーに従い、次の例外を除いて、モデルのトレーニングにデータを使用しません。
|
||||
|
||||
@@ -55,6 +55,7 @@ OpenCode Zen은 OpenCode의 다른 제공자와 동일한 방식으로 작동합
|
||||
|
||||
| 모델 | 모델 ID | 엔드포인트 | AI SDK 패키지 |
|
||||
| ------------------ | ------------------ | -------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
@@ -111,12 +112,12 @@ https://opencode.ai/zen/v1/models
|
||||
| --------------------------------- | ------ | ------ | --------- | --------- |
|
||||
| Big Pickle | Free | Free | Free | - |
|
||||
| MiniMax M2.5 Free | Free | Free | Free | - |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
|
||||
| MiniMax M2.1 | $0.30 | $1.20 | $0.10 | - |
|
||||
| GLM 5 | $1.00 | $3.20 | $0.20 | - |
|
||||
| GLM 4.7 | $0.60 | $2.20 | $0.10 | - |
|
||||
| GLM 4.6 | $0.60 | $2.20 | $0.10 | - |
|
||||
| Kimi K2.5 | $0.60 | $3.00 | $0.08 | - |
|
||||
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
|
||||
| Kimi K2 Thinking | $0.40 | $2.50 | - | - |
|
||||
| Kimi K2 | $0.40 | $2.50 | - | - |
|
||||
| Qwen3 Coder 480B | $0.45 | $1.50 | - | - |
|
||||
@@ -137,6 +138,7 @@ https://opencode.ai/zen/v1/models
|
||||
| Gemini 3 Pro (≤ 200K tokens) | $2.00 | $12.00 | $0.20 | - |
|
||||
| Gemini 3 Pro (> 200K tokens) | $4.00 | $18.00 | $0.40 | - |
|
||||
| Gemini 3 Flash | $0.50 | $3.00 | $0.05 | - |
|
||||
| GPT 5.4 | $2.50 | $15.00 | $0.25 | - |
|
||||
| GPT 5.3 Codex | $1.75 | $14.00 | $0.175 | - |
|
||||
| GPT 5.2 | $1.75 | $14.00 | $0.175 | - |
|
||||
| GPT 5.2 Codex | $1.75 | $14.00 | $0.175 | - |
|
||||
@@ -180,6 +182,19 @@ https://opencode.ai/zen/v1/models
|
||||
|
||||
---
|
||||
|
||||
### 지원 중단 모델
|
||||
|
||||
| 모델 | 지원 중단일 |
|
||||
| ---------------- | --------------- |
|
||||
| Qwen3 Coder 480B | 2026년 2월 6일 |
|
||||
| Kimi K2 Thinking | 2026년 3월 6일 |
|
||||
| Kimi K2 | 2026년 3월 6일 |
|
||||
| MiniMax M2.1 | 2026년 3월 15일 |
|
||||
| GLM 4.7 | 2026년 3월 15일 |
|
||||
| GLM 4.6 | 2026년 3월 15일 |
|
||||
|
||||
---
|
||||
|
||||
## 개인정보 보호
|
||||
|
||||
당사의 모든 모델은 미국에서 호스팅됩니다. 당사 제공자는 데이터 무보존(zero-retention) 정책을 따르며, 아래의 예외를 제외하고는 귀하의 데이터를 모델 학습에 사용하지 않습니다.
|
||||
|
||||
@@ -64,6 +64,7 @@ Du kan også få tilgang til modellene våre gjennom følgende API-endepunkter.
|
||||
|
||||
| Modell | Modell ID | Endepunkt | AI SDK Pakke |
|
||||
| ------------------ | ------------------ | -------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
@@ -121,7 +122,7 @@ Vi støtter en pay-as-you-go-modell. Nedenfor er prisene **per 1 million tokens*
|
||||
| --------------------------------- | ------- | ------ | ------------- | --------------- |
|
||||
| Big Pickle | Gratis | Gratis | Gratis | - |
|
||||
| MiniMax M2.5 Free | Gratis | Gratis | Gratis | - |
|
||||
| MiniMax M2.5 | $0,30 | $1,20 | $0,06 | - |
|
||||
| MiniMax M2.5 | $0,30 | $1,20 | $0,06 | $0,375 |
|
||||
| MiniMax M2.1 | $0,30 | $1,20 | $0,10 | - |
|
||||
| GLM 5 | $1,00 | $3,20 | $0,20 | - |
|
||||
| GLM 4.7 | $0,60 | $2,20 | $0,10 | - |
|
||||
@@ -147,6 +148,7 @@ Vi støtter en pay-as-you-go-modell. Nedenfor er prisene **per 1 million tokens*
|
||||
| Gemini 3 Pro (≤ 200K tokens) | $2,00 | $12,00 | $0,20 | - |
|
||||
| Gemini 3 Pro (> 200K tokens) | $4,00 | $18,00 | $0,40 | - |
|
||||
| Gemini 3 Flash | $0,50 | $3,00 | $0,05 | - |
|
||||
| GPT 5.4 | $2,50 | $15,00 | $0,25 | - |
|
||||
| GPT 5.3 Codex | $1,75 | $14,00 | $0,175 | - |
|
||||
| GPT 5.2 | $1,75 | $14,00 | $0,175 | - |
|
||||
| GPT 5.2 Codex | $1,75 | $14,00 | $0,175 | - |
|
||||
@@ -192,6 +194,19 @@ belaster deg mer enn $20 hvis saldoen din går under $5.
|
||||
|
||||
---
|
||||
|
||||
### Utfasede modeller
|
||||
|
||||
| Modell | Utfasingdato |
|
||||
| ---------------- | ------------- |
|
||||
| Qwen3 Coder 480B | 6. feb. 2026 |
|
||||
| Kimi K2 Thinking | 6. mars 2026 |
|
||||
| Kimi K2 | 6. mars 2026 |
|
||||
| MiniMax M2.1 | 15. mars 2026 |
|
||||
| GLM 4.7 | 15. mars 2026 |
|
||||
| GLM 4.6 | 15. mars 2026 |
|
||||
|
||||
---
|
||||
|
||||
## Personvern
|
||||
|
||||
Alle våre modeller er hostet i USA. Leverandørene våre følger retningslinjer om ingen datalagring og bruker ikke dataene dine til modellopplæring, med følgende unntak:
|
||||
|
||||
@@ -1,21 +1,21 @@
|
||||
---
|
||||
title: Zen
|
||||
description: Wyselekcjonowana lista modeli dostarczonych przez opencode.
|
||||
description: Wyselekcjonowana lista modeli dostarczonych przez OpenCode.
|
||||
---
|
||||
|
||||
import config from "../../../../config.mjs"
|
||||
export const console = config.console
|
||||
export const email = `mailto:${config.email}`
|
||||
|
||||
OpenCode Zen to lista przetestowanych i zweryfikowanych modeli udostępniona przez zespół opencode.
|
||||
OpenCode Zen to lista przetestowanych i zweryfikowanych modeli udostępniona przez zespół OpenCode.
|
||||
|
||||
:::note
|
||||
OpenCode Zen is currently in beta.
|
||||
OpenCode Zen jest obecnie w wersji beta.
|
||||
:::
|
||||
|
||||
Zen działa jak każdy inny dostawca opencode. Logujesz się do OpenCode Zen i dostajesz
|
||||
Twój klucz API. Jest **całkowicie opcjonalny** i nie musisz go używać, aby z niego korzystać
|
||||
opencode.
|
||||
Zen działa jak każdy inny dostawca w OpenCode. Logujesz się do OpenCode Zen i otrzymujesz
|
||||
swój klucz API. Jest to **całkowicie opcjonalne** i nie musisz tego używać, aby korzystać z
|
||||
OpenCode.
|
||||
|
||||
---
|
||||
|
||||
@@ -23,23 +23,23 @@ opencode.
|
||||
|
||||
Istnieje ogromna liczba modeli, ale tylko kilka z nich
|
||||
działa dobrze jako agenci kodujący. Dodatkowo większość dostawców jest
|
||||
skonfigurowana bardzo różnie; więc otrzymujesz zupełnie inną wydajność i jakość.
|
||||
skonfigurowana bardzo różnie, więc otrzymujesz bardzo różną wydajność i jakość.
|
||||
|
||||
:::tip
|
||||
Przetestowaliśmy wybraną grupę modeli i dostawców, którzy dobrze współpracują z opencode.
|
||||
Przetestowaliśmy wybraną grupę modeli i dostawców, którzy dobrze współpracują z OpenCode.
|
||||
:::
|
||||
|
||||
Jeśli więc używasz modelu za pośrednictwem czegoś takiego jak OpenRouter, nigdy nie będzie to możliwe
|
||||
Jeśli więc używasz modelu za pośrednictwem czegoś takiego jak OpenRouter, nigdy nie możesz być
|
||||
pewien, czy otrzymujesz najlepszą wersję modelu, jaki chcesz.
|
||||
|
||||
Aby to naprawić, zrobiliśmy kilka rzeczy:
|
||||
|
||||
1. Przetestowaliśmy wybraną grupę modeli i rozmawialiśmy z ich zespołami o tym, jak to zrobić
|
||||
najlepiej je uruchom.
|
||||
1. Przetestowaliśmy wybraną grupę modeli i rozmawialiśmy z ich zespołami o tym, jak
|
||||
najlepiej je uruchamiać.
|
||||
2. Następnie współpracowaliśmy z kilkoma dostawcami, aby upewnić się, że są one obsługiwane
|
||||
correctly.
|
||||
3. Na koniec porównaliśmy kombinację modelu/dostawcy i otrzymaliśmy wynik
|
||||
z listą, którą z przyjemnością polecamy.
|
||||
poprawnie.
|
||||
3. Na koniec sprawdziliśmy wydajność kombinacji modelu/dostawcy i stworzyliśmy
|
||||
listę, którą z czystym sumieniem polecamy.
|
||||
|
||||
OpenCode Zen to brama AI, która zapewnia dostęp do tych modeli.
|
||||
|
||||
@@ -47,14 +47,14 @@ OpenCode Zen to brama AI, która zapewnia dostęp do tych modeli.
|
||||
|
||||
## Jak to działa
|
||||
|
||||
OpenCode Zen działa jak każdy inny dostawca opencode.
|
||||
OpenCode Zen działa jak każdy inny dostawca w OpenCode.
|
||||
|
||||
1. Logujesz się do **<a href={console}>OpenCode Zen</a>**, dodajesz swoje rozliczenia
|
||||
szczegóły i skopiuj klucz API.
|
||||
1. Logujesz się do **<a href={console}>OpenCode Zen</a>**, dodajesz dane rozliczeniowe
|
||||
i kopiujesz swój klucz API.
|
||||
2. Uruchamiasz polecenie `/connect` w TUI, wybierasz OpenCode Zen i wklejasz klucz API.
|
||||
3. Uruchom `/models` w TUI, aby zobaczyć listę zalecanych przez nas modeli.
|
||||
|
||||
Opłata jest pobierana za każde żądanie i możesz dodać kredyty do swojego konta.
|
||||
Opłata jest pobierana za każde żądanie i możesz dodać środki do swojego konta.
|
||||
|
||||
---
|
||||
|
||||
@@ -64,6 +64,7 @@ Dostęp do naszych modeli można również uzyskać za pośrednictwem następuj
|
||||
|
||||
| Model | Identyfikator modelu | Punkt końcowy | Pakiet SDK AI |
|
||||
| ------------------ | -------------------- | -------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
@@ -97,9 +98,9 @@ Dostęp do naszych modeli można również uzyskać za pośrednictwem następuj
|
||||
| Qwen3 Coder 480B | qwen3-coder | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
||||
[Identyfikator modelu](/docs/config/#models) w konfiguracji opencode
|
||||
używa formatu `opencode/<model-id>`. Na przykład w przypadku Kodeksu GPT 5.2 zrobiłbyś to
|
||||
użyj `opencode/gpt-5.2-codex` w swojej konfiguracji.
|
||||
[Identyfikator modelu](/docs/config/#models) w konfiguracji OpenCode
|
||||
używa formatu `opencode/<model-id>`. Na przykład w przypadku GPT 5.2 Codex użyłbyś
|
||||
`opencode/gpt-5.2-codex` w swojej konfiguracji.
|
||||
|
||||
---
|
||||
|
||||
@@ -121,12 +122,12 @@ Wspieramy model pay-as-you-go. Poniżej znajdują się ceny **za 1M tokenów**.
|
||||
| --------------------------------- | ------- | ------- | --------------------------- | -------------------------- |
|
||||
| Big Pickle | Free | Free | Free | - |
|
||||
| MiniMax M2.5 Free | Free | Free | Free | - |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
|
||||
| MiniMax M2.1 | $0.30 | $1.20 | $0.10 | - |
|
||||
| GLM 5 | $1.00 | $3.20 | $0.20 | - |
|
||||
| GLM 4.7 | $0.60 | $2.20 | $0.10 | - |
|
||||
| GLM 4.6 | $0.60 | $2.20 | $0.10 | - |
|
||||
| Kimi K2.5 | $0.60 | $3.00 | $0.08 | - |
|
||||
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
|
||||
| Kimi K2 Thinking | $0.40 | $2.50 | - | - |
|
||||
| Kimi K2 | $0.40 | $2.50 | - | - |
|
||||
| Qwen3 Coder 480B | $0.45 | $1.50 | - | - |
|
||||
@@ -147,6 +148,7 @@ Wspieramy model pay-as-you-go. Poniżej znajdują się ceny **za 1M tokenów**.
|
||||
| Gemini 3 Pro (≤ 200K tokens) | $2.00 | $12.00 | $0.20 | - |
|
||||
| Gemini 3 Pro (> 200K tokens) | $4.00 | $18.00 | $0.40 | - |
|
||||
| Gemini 3 Flash | $0.50 | $3.00 | $0.05 | - |
|
||||
| GPT 5.4 | $2.50 | $15.00 | $0.25 | - |
|
||||
| GPT 5.3 Codex | $1.75 | $14.00 | $0.175 | - |
|
||||
| GPT 5.2 | $1.75 | $14.00 | $0.175 | - |
|
||||
| GPT 5.2 Codex | $1.75 | $14.00 | $0.175 | - |
|
||||
@@ -158,10 +160,10 @@ Wspieramy model pay-as-you-go. Poniżej znajdują się ceny **za 1M tokenów**.
|
||||
| GPT 5 Codex | $1.07 | $8.50 | $0.107 | - |
|
||||
| GPT 5 Nano | Free | Free | Free | - |
|
||||
|
||||
Możesz zauważyć _Claude Haiku 3.5_ w swojej historii użytkowania. To jest [model niskokosztowy](/docs/config/#models), który służy do generowania tytułów sesji.
|
||||
Możesz zauważyć _Claude Haiku 3.5_ w swojej historii użytkowania. Jest to [tani model](/docs/config/#models), który jest używany do generowania tytułów Twoich sesji.
|
||||
|
||||
:::note
|
||||
Opłaty za karty kredytowe są przenoszone na koszt (4,4% + 0,30 USD za transakcję); nie pobieramy żadnych dodatkowych opłat.
|
||||
Opłaty za karty kredytowe są przenoszone po kosztach (4,4% + 0,30 USD za transakcję); nie pobieramy nic poza tym.
|
||||
:::
|
||||
|
||||
Darmowe modele:
|
||||
@@ -177,18 +179,31 @@ Darmowe modele:
|
||||
|
||||
Jeśli Twoje saldo spadnie poniżej 5 USD, Zen automatycznie doładuje 20 USD.
|
||||
|
||||
Możesz zmienić kwotę automatycznego doładowania. Możesz także całkowicie wyłączyć automatyczne przeładowywanie.
|
||||
Możesz zmienić kwotę automatycznego doładowania. Możesz także całkowicie wyłączyć automatyczne doładowanie.
|
||||
|
||||
---
|
||||
|
||||
### Limity miesięczne
|
||||
|
||||
Możesz także ustawić miesięczny limit wykorzystania dla całego obszaru roboczego i dla każdego z nich
|
||||
członek Twojego zespołu.
|
||||
Możesz także ustawić miesięczny limit użytkowania dla całego obszaru roboczego i dla każdego
|
||||
członka Twojego zespołu.
|
||||
|
||||
Załóżmy na przykład, że ustawiłeś miesięczny limit użytkowania na 20 USD, Zen nie będzie z niego korzystał
|
||||
ponad 20 dolarów miesięcznie. Ale jeśli masz włączone automatyczne przeładowywanie, Zen może się skończyć
|
||||
obciąży Cię kwotą wyższą niż 20 USD, jeśli saldo spadnie poniżej 5 USD.
|
||||
Na przykład, jeśli ustawisz miesięczny limit użytkowania na 20 USD, Zen nie zużyje
|
||||
więcej niż 20 dolarów w miesiącu. Ale jeśli masz włączone automatyczne doładowanie, Zen może
|
||||
obciążyć Cię kwotą wyższą niż 20 USD, jeśli saldo spadnie poniżej 5 USD.
|
||||
|
||||
---
|
||||
|
||||
### Przestarzałe modele
|
||||
|
||||
| Model | Data wycofania |
|
||||
| ---------------- | -------------- |
|
||||
| Qwen3 Coder 480B | 6 lutego 2026 |
|
||||
| Kimi K2 Thinking | 6 marca 2026 |
|
||||
| Kimi K2 | 6 marca 2026 |
|
||||
| MiniMax M2.1 | 15 marca 2026 |
|
||||
| GLM 4.7 | 15 marca 2026 |
|
||||
| GLM 4.6 | 15 marca 2026 |
|
||||
|
||||
---
|
||||
|
||||
@@ -198,22 +213,22 @@ Wszystkie nasze modele są hostowane w USA. Nasi dostawcy przestrzegają polityk
|
||||
|
||||
- Big Pickle: W okresie bezpłatnym zebrane dane mogą zostać wykorzystane do udoskonalenia modelu.
|
||||
- MiniMax M2.5 Free: W okresie bezpłatnym zebrane dane mogą zostać wykorzystane do udoskonalenia modelu.
|
||||
- Interfejsy API OpenAI: żądania są przechowywane przez 30 dni zgodnie z [Zasadami dotyczącymi danych OpenAI](https://platform.openai.com/docs/guides/your-data).
|
||||
- Interfejsy API Anthropic: żądania są przechowywane przez 30 dni zgodnie z [Zasadami dotyczącymi danych firmy Anthropic](https://docs.anthropic.com/en/docs/claude-code/data-usage).
|
||||
- API OpenAI: Żądania są przechowywane przez 30 dni zgodnie z [Zasadami dotyczącymi danych OpenAI](https://platform.openai.com/docs/guides/your-data).
|
||||
- API Anthropic: Żądania są przechowywane przez 30 dni zgodnie z [Zasadami dotyczącymi danych Anthropic](https://docs.anthropic.com/en/docs/claude-code/data-usage).
|
||||
|
||||
---
|
||||
|
||||
## Dla zespołów
|
||||
|
||||
Zen świetnie sprawdza się także w zespołach. Możesz zapraszać członków zespołu, przypisywać role, zarządzać
|
||||
Zen działa świetnie także dla zespołów. Możesz zapraszać członków zespołu, przypisywać role, dobierać
|
||||
modele, z których korzysta Twój zespół i nie tylko.
|
||||
|
||||
:::note
|
||||
Obszary robocze są obecnie bezpłatne dla zespołów w ramach wersji beta.
|
||||
:::
|
||||
|
||||
Zarządzanie obszarem roboczym jest obecnie bezpłatne dla zespołów w ramach wersji beta. Będziemy
|
||||
wkrótce udostępnimy więcej szczegółów na temat cen.
|
||||
Zarządzanie obszarem roboczym jest obecnie bezpłatne dla zespołów w ramach wersji beta.
|
||||
Wkrótce udostępnimy więcej szczegółów na temat cen.
|
||||
|
||||
---
|
||||
|
||||
@@ -221,8 +236,8 @@ wkrótce udostępnimy więcej szczegółów na temat cen.
|
||||
|
||||
Możesz zapraszać członków zespołu do swojego obszaru roboczego i przypisywać role:
|
||||
|
||||
- **Administrator**: Zarządzaj modelami, członkami, kluczami API i rozliczeniami
|
||||
- **Członek**: Zarządzaj tylko własnymi kluczami API
|
||||
- **Admin**: Zarządzanie modelami, członkami, kluczami API i rozliczeniami
|
||||
- **Członek**: Zarządzanie tylko własnymi kluczami API
|
||||
|
||||
Administratorzy mogą także ustawić miesięczne limity wydatków dla każdego członka, aby utrzymać koszty pod kontrolą.
|
||||
|
||||
@@ -233,7 +248,7 @@ Administratorzy mogą także ustawić miesięczne limity wydatków dla każdego
|
||||
Administratorzy mogą włączać i wyłączać określone modele w obszarze roboczym. Żądania skierowane do wyłączonego modelu zwrócą błąd.
|
||||
|
||||
Jest to przydatne w przypadkach, gdy chcesz wyłączyć korzystanie z modelu, który
|
||||
collects data.
|
||||
zbiera dane.
|
||||
|
||||
---
|
||||
|
||||
@@ -253,6 +268,6 @@ i chcesz go używać zamiast tego, który zapewnia Zen.
|
||||
Stworzyliśmy OpenCode Zen, aby:
|
||||
|
||||
1. **Testować** (Benchmark) najlepsze modele/dostawców dla agentów kodujących.
|
||||
2. Miej dostęp do opcji **najwyższej jakości**, a nie obniżaj wydajności ani nie kieruj się do tańszych dostawców.
|
||||
3. Przekaż wszelkie **obniżki cen**, sprzedając po kosztach; więc jedyną marżą jest pokrycie naszych opłat manipulacyjnych.
|
||||
4. Nie **nie blokuj**, umożliwiając używanie go z dowolnym innym agentem kodującym. I zawsze pozwalaj na korzystanie z opencode dowolnego innego dostawcy.
|
||||
2. Mieć dostęp do opcji **najwyższej jakości**, a nie obniżać wydajności ani nie kierować do tańszych dostawców.
|
||||
3. Przekazywać wszelkie **obniżki cen**, sprzedając po kosztach; więc jedyną marżą jest pokrycie naszych opłat manipulacyjnych.
|
||||
4. Nie **mieć blokady** (no lock-in), umożliwiając używanie go z dowolnym innym agentem kodującym. I zawsze pozwalać na korzystanie z dowolnego innego dostawcy w OpenCode.
|
||||
|
||||
@@ -55,6 +55,7 @@ Você também pode acessar nossos modelos através dos seguintes endpoints da AP
|
||||
|
||||
| Modelo | ID do Modelo | Endpoint | Pacote AI SDK |
|
||||
| ------------------ | ------------------ | -------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
@@ -136,6 +137,7 @@ Nós suportamos um modelo de pagamento conforme o uso. Abaixo estão os preços
|
||||
| Gemini 3 Pro (≤ 200K tokens) | $2.00 | $12.00 | $0.20 | - |
|
||||
| Gemini 3 Pro (> 200K tokens) | $4.00 | $18.00 | $0.40 | - |
|
||||
| Gemini 3 Flash | $0.50 | $3.00 | $0.05 | - |
|
||||
| GPT 5.4 | $2.50 | $15.00 | $0.25 | - |
|
||||
| GPT 5.3 Codex | $1.75 | $14.00 | $0.175 | - |
|
||||
| GPT 5.2 | $1.75 | $14.00 | $0.175 | - |
|
||||
| GPT 5.2 Codex | $1.75 | $14.00 | $0.175 | - |
|
||||
@@ -178,6 +180,19 @@ Por exemplo, digamos que você defina um limite de uso mensal de $20, o Zen não
|
||||
|
||||
---
|
||||
|
||||
### Modelos obsoletos
|
||||
|
||||
| Modelo | Data de descontinuação |
|
||||
| ---------------- | ---------------------- |
|
||||
| Qwen3 Coder 480B | 6 de fev. de 2026 |
|
||||
| Kimi K2 Thinking | 6 de mar. de 2026 |
|
||||
| Kimi K2 | 6 de mar. de 2026 |
|
||||
| MiniMax M2.1 | 15 de mar. de 2026 |
|
||||
| GLM 4.7 | 15 de mar. de 2026 |
|
||||
| GLM 4.6 | 15 de mar. de 2026 |
|
||||
|
||||
---
|
||||
|
||||
## Privacidade
|
||||
|
||||
Todos os nossos modelos estão hospedados nos EUA. Nossos provedores seguem uma política de zero retenção e não usam seus dados para treinamento de modelos, com as seguintes exceções:
|
||||
|
||||
@@ -63,6 +63,7 @@ OpenCode Zen работает так же, как и любой другой п
|
||||
|
||||
| Модель | Идентификатор модели | Конечная точка | Пакет AI SDK |
|
||||
| ------------------ | -------------------- | -------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
@@ -146,6 +147,7 @@ https://opencode.ai/zen/v1/models
|
||||
| Gemini 3 Pro (≤ 200 тыс. токенов) | $2.00 | $12.00 | $0.20 | - |
|
||||
| Gemini 3 Pro (> 200 тыс. токенов) | $4.00 | $18.00 | $0.40 | - |
|
||||
| Gemini 3 Flash | $0.50 | $3.00 | $0.05 | - |
|
||||
| GPT 5.4 | $2.50 | $15.00 | $0.25 | - |
|
||||
| GPT 5.3 Codex | $1.75 | $14.00 | $0.175 | - |
|
||||
| GPT 5.2 | $1.75 | $14.00 | $0.175 | - |
|
||||
| GPT 5.2 Codex | $1.75 | $14.00 | $0.175 | - |
|
||||
@@ -191,6 +193,19 @@ https://opencode.ai/zen/v1/models
|
||||
|
||||
---
|
||||
|
||||
### Устаревшие модели
|
||||
|
||||
| Модель | Дата отключения |
|
||||
| ---------------- | ---------------- |
|
||||
| Qwen3 Coder 480B | 6 февр. 2026 г. |
|
||||
| Kimi K2 Thinking | 6 марта 2026 г. |
|
||||
| Kimi K2 | 6 марта 2026 г. |
|
||||
| MiniMax M2.1 | 15 марта 2026 г. |
|
||||
| GLM 4.7 | 15 марта 2026 г. |
|
||||
| GLM 4.6 | 15 марта 2026 г. |
|
||||
|
||||
---
|
||||
|
||||
## Конфиденциальность
|
||||
|
||||
Все наши модели размещены в США. Наши поставщики придерживаются политики нулевого хранения и не используют ваши данные для обучения моделей, за следующими исключениями:
|
||||
|
||||
@@ -64,6 +64,7 @@ OpenCode Zen ทำงานเหมือนกับผู้ให้บร
|
||||
|
||||
| Model | Model ID | Endpoint | แพ็คเกจ AI SDK |
|
||||
| ------------------ | ------------------ | -------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
@@ -121,12 +122,12 @@ https://opencode.ai/zen/v1/models
|
||||
| --------------------------------- | ---------- | -------- | ------- | ---------- |
|
||||
| Big Pickle | ฟรี | ฟรี | ฟรี | - |
|
||||
| MiniMax M2.5 Free | ฟรี | ฟรี | ฟรี | - |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
|
||||
| MiniMax M2.1 | $0.30 | $1.20 | $0.10 | - |
|
||||
| GLM 5 | $1.00 | $3.20 | $0.20 | - |
|
||||
| GLM 4.7 | $0.60 | $2.20 | $0.10 | - |
|
||||
| GLM 4.6 | $0.60 | $2.20 | $0.10 | - |
|
||||
| Kimi K2.5 | $0.60 | $3.00 | $0.08 | - |
|
||||
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
|
||||
| Kimi K2 Thinking | $0.40 | $2.50 | - | - |
|
||||
| Kimi K2 | $0.40 | $2.50 | - | - |
|
||||
| Qwen3 Coder 480B | $0.45 | $1.50 | - | - |
|
||||
@@ -147,6 +148,7 @@ https://opencode.ai/zen/v1/models
|
||||
| Gemini 3 Pro (≤ 200K tokens) | $2.00 | $12.00 | $0.20 | - |
|
||||
| Gemini 3 Pro (> 200K tokens) | $4.00 | $18.00 | $0.40 | - |
|
||||
| Gemini 3 Flash | $0.50 | $3.00 | $0.05 | - |
|
||||
| GPT 5.4 | $2.50 | $15.00 | $0.25 | - |
|
||||
| GPT 5.3 Codex | $1.75 | $14.00 | $0.175 | - |
|
||||
| GPT 5.2 | $1.75 | $14.00 | $0.175 | - |
|
||||
| GPT 5.2 Codex | $1.75 | $14.00 | $0.175 | - |
|
||||
@@ -192,11 +194,24 @@ https://opencode.ai/zen/v1/models
|
||||
|
||||
---
|
||||
|
||||
### โมเดลที่เลิกใช้แล้ว
|
||||
|
||||
| Model | วันที่เลิกใช้ |
|
||||
| ---------------- | ------------- |
|
||||
| Qwen3 Coder 480B | 6 ก.พ. 2026 |
|
||||
| Kimi K2 Thinking | 6 มี.ค. 2026 |
|
||||
| Kimi K2 | 6 มี.ค. 2026 |
|
||||
| MiniMax M2.1 | 15 มี.ค. 2026 |
|
||||
| GLM 4.7 | 15 มี.ค. 2026 |
|
||||
| GLM 4.6 | 15 มี.ค. 2026 |
|
||||
|
||||
---
|
||||
|
||||
## ความเป็นส่วนตัว
|
||||
|
||||
โมเดลทั้งหมดของเราโฮสต์ในสหรัฐอเมริกา ผู้ให้บริการของเราปฏิบัติตามนโยบายการเก็บรักษาเป็นศูนย์ และไม่ใช้ข้อมูลของคุณสำหรับการฝึกโมเดล โดยมีข้อยกเว้นต่อไปนี้:
|
||||
|
||||
- Big Pickle: ในช่วงระยะเวลาว่าง ข้อมูลที่รวบรวมอาจนำไปใช้ในการปรับปรุงโมเดลได้
|
||||
- Big Pickle: ในช่วงระยะเวลาฟรี ข้อมูลที่รวบรวมอาจนำไปใช้ในการปรับปรุงโมเดลได้
|
||||
- MiniMax M2.5 Free: ในช่วงระยะเวลาฟรี ข้อมูลที่รวบรวมอาจนำไปใช้ในการปรับปรุงโมเดล
|
||||
- OpenAI API: คำขอจะถูกเก็บไว้เป็นเวลา 30 วันตาม [นโยบายข้อมูลของ OpenAI](https://platform.openai.com/docs/guides/your-data)
|
||||
- Anthropic API: คำขอจะถูกเก็บไว้เป็นเวลา 30 วันตาม [นโยบายข้อมูลของ Anthropic](https://docs.anthropic.com/en/docs/claude-code/data-usage)
|
||||
|
||||
@@ -55,6 +55,7 @@ Modellerimize aşağıdaki API uç noktaları aracılığıyla da erişebilirsin
|
||||
|
||||
| Model | Model ID | Endpoint | AI SDK Package |
|
||||
| ------------------ | ------------------ | -------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
@@ -136,6 +137,7 @@ Kullandıkça öde modelini destekliyoruz. Aşağıda **1 milyon token başına*
|
||||
| Gemini 3 Pro (≤ 200K tokens) | $2.00 | $12.00 | $0.20 | - |
|
||||
| Gemini 3 Pro (> 200K tokens) | $4.00 | $18.00 | $0.40 | - |
|
||||
| Gemini 3 Flash | $0.50 | $3.00 | $0.05 | - |
|
||||
| GPT 5.4 | $2.50 | $15.00 | $0.25 | - |
|
||||
| GPT 5.3 Codex | $1.75 | $14.00 | $0.175 | - |
|
||||
| GPT 5.2 | $1.75 | $14.00 | $0.175 | - |
|
||||
| GPT 5.2 Codex | $1.75 | $14.00 | $0.175 | - |
|
||||
@@ -178,6 +180,19 @@ Ayrıca tüm çalışma alanı ve ekibinizin her üyesi için aylık kullanım l
|
||||
|
||||
---
|
||||
|
||||
### Kullanımdan kaldırılan modeller
|
||||
|
||||
| Model | Kullanımdan kaldırılma tarihi |
|
||||
| ---------------- | ----------------------------- |
|
||||
| Qwen3 Coder 480B | 6 Şub 2026 |
|
||||
| Kimi K2 Thinking | 6 Mar 2026 |
|
||||
| Kimi K2 | 6 Mar 2026 |
|
||||
| MiniMax M2.1 | 15 Mar 2026 |
|
||||
| GLM 4.7 | 15 Mar 2026 |
|
||||
| GLM 4.6 | 15 Mar 2026 |
|
||||
|
||||
---
|
||||
|
||||
## Gizlilik
|
||||
|
||||
Tüm modellerimiz ABD'de barındırılmaktadır. Sağlayıcılarımız sıfır saklama politikasını izler ve aşağıdaki istisnalar dışında verilerinizi model eğitimi için kullanmaz:
|
||||
|
||||
@@ -62,44 +62,47 @@ You are charged per request and you can add credits to your account.
|
||||
|
||||
You can also access our models through the following API endpoints.
|
||||
|
||||
| Model | Model ID | Endpoint | AI SDK Package |
|
||||
| ------------------ | ------------------ | -------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 | gpt-5.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex | gpt-5.1-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Max | gpt-5.1-codex-max | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Mini | gpt-5.1-codex-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 | gpt-5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Codex | gpt-5-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Nano | gpt-5-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Claude Opus 4.6 | claude-opus-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.5 | claude-opus-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.1 | claude-opus-4-1 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4 | claude-sonnet-4 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 3.5 | claude-3-5-haiku | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
|
||||
| Gemini 3 Pro | gemini-3-pro | `https://opencode.ai/zen/v1/models/gemini-3-pro` | `@ai-sdk/google` |
|
||||
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.5 Free | minimax-m2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.1 | minimax-m2.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 4.7 | glm-4.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 4.6 | glm-4.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2 Thinking | kimi-k2-thinking | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2 | kimi-k2 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Qwen3 Coder 480B | qwen3-coder | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Model | Model ID | Endpoint | AI SDK Package |
|
||||
| ------------------- | ------------------- | -------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex Spark | gpt-5.3-codex-spark | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 | gpt-5.1 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex | gpt-5.1-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Max | gpt-5.1-codex-max | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.1 Codex Mini | gpt-5.1-codex-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 | gpt-5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Codex | gpt-5-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5 Nano | gpt-5-nano | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Claude Opus 4.6 | claude-opus-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.5 | claude-opus-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Opus 4.1 | claude-opus-4-1 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4 | claude-sonnet-4 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 3.5 | claude-3-5-haiku | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
|
||||
| Gemini 3 Pro | gemini-3-pro | `https://opencode.ai/zen/v1/models/gemini-3-pro` | `@ai-sdk/google` |
|
||||
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.5 Free | minimax-m2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| MiniMax M2.1 | minimax-m2.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 4.7 | glm-4.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM 4.6 | glm-4.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2 Thinking | kimi-k2-thinking | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2 | kimi-k2 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Qwen3 Coder 480B | qwen3-coder | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
||||
The [model id](/docs/config/#models) in your OpenCode config
|
||||
uses the format `opencode/<model-id>`. For example, for GPT 5.2 Codex, you would
|
||||
use `opencode/gpt-5.2-codex` in your config.
|
||||
uses the format `opencode/<model-id>`. For example, for GPT 5.3 Codex, you would
|
||||
use `opencode/gpt-5.3-codex` in your config.
|
||||
|
||||
---
|
||||
|
||||
@@ -117,46 +120,49 @@ https://opencode.ai/zen/v1/models
|
||||
|
||||
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 | - |
|
||||
| MiniMax M2.5 Free | Free | Free | Free | - |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
|
||||
| MiniMax M2.1 | $0.30 | $1.20 | $0.10 | - |
|
||||
| GLM 5 | $1.00 | $3.20 | $0.20 | - |
|
||||
| GLM 4.7 | $0.60 | $2.20 | $0.10 | - |
|
||||
| GLM 4.6 | $0.60 | $2.20 | $0.10 | - |
|
||||
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
|
||||
| Kimi K2 Thinking | $0.40 | $2.50 | - | - |
|
||||
| Kimi K2 | $0.40 | $2.50 | - | - |
|
||||
| Qwen3 Coder 480B | $0.45 | $1.50 | - | - |
|
||||
| Claude Opus 4.6 (≤ 200K tokens) | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
| Claude Opus 4.6 (> 200K tokens) | $10.00 | $37.50 | $1.00 | $12.50 |
|
||||
| Claude Opus 4.5 | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
| Claude Opus 4.1 | $15.00 | $75.00 | $1.50 | $18.75 |
|
||||
| Claude Sonnet 4.6 (≤ 200K tokens) | $3.00 | $15.00 | $0.30 | $3.75 |
|
||||
| Claude Sonnet 4.6 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
|
||||
| Claude Sonnet 4.5 (≤ 200K tokens) | $3.00 | $15.00 | $0.30 | $3.75 |
|
||||
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
|
||||
| Claude Sonnet 4 (≤ 200K tokens) | $3.00 | $15.00 | $0.30 | $3.75 |
|
||||
| Claude Sonnet 4 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
|
||||
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
|
||||
| Claude Haiku 3.5 | $0.80 | $4.00 | $0.08 | $1.00 |
|
||||
| Gemini 3.1 Pro (≤ 200K tokens) | $2.00 | $12.00 | $0.20 | - |
|
||||
| Gemini 3.1 Pro (> 200K tokens) | $4.00 | $18.00 | $0.40 | - |
|
||||
| Gemini 3 Pro (≤ 200K tokens) | $2.00 | $12.00 | $0.20 | - |
|
||||
| Gemini 3 Pro (> 200K tokens) | $4.00 | $18.00 | $0.40 | - |
|
||||
| Gemini 3 Flash | $0.50 | $3.00 | $0.05 | - |
|
||||
| GPT 5.3 Codex | $1.75 | $14.00 | $0.175 | - |
|
||||
| GPT 5.2 | $1.75 | $14.00 | $0.175 | - |
|
||||
| GPT 5.2 Codex | $1.75 | $14.00 | $0.175 | - |
|
||||
| GPT 5.1 | $1.07 | $8.50 | $0.107 | - |
|
||||
| GPT 5.1 Codex | $1.07 | $8.50 | $0.107 | - |
|
||||
| GPT 5.1 Codex Max | $1.25 | $10.00 | $0.125 | - |
|
||||
| GPT 5.1 Codex Mini | $0.25 | $2.00 | $0.025 | - |
|
||||
| GPT 5 | $1.07 | $8.50 | $0.107 | - |
|
||||
| GPT 5 Codex | $1.07 | $8.50 | $0.107 | - |
|
||||
| GPT 5 Nano | Free | Free | Free | - |
|
||||
| Model | Input | Output | Cached Read | Cached Write |
|
||||
| --------------------------------- | ------ | ------- | ----------- | ------------ |
|
||||
| Big Pickle | Free | Free | Free | - |
|
||||
| MiniMax M2.5 Free | Free | Free | Free | - |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
|
||||
| MiniMax M2.1 | $0.30 | $1.20 | $0.10 | - |
|
||||
| GLM 5 | $1.00 | $3.20 | $0.20 | - |
|
||||
| GLM 4.7 | $0.60 | $2.20 | $0.10 | - |
|
||||
| GLM 4.6 | $0.60 | $2.20 | $0.10 | - |
|
||||
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
|
||||
| Kimi K2 Thinking | $0.40 | $2.50 | - | - |
|
||||
| Kimi K2 | $0.40 | $2.50 | - | - |
|
||||
| Qwen3 Coder 480B | $0.45 | $1.50 | - | - |
|
||||
| Claude Opus 4.6 (≤ 200K tokens) | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
| Claude Opus 4.6 (> 200K tokens) | $10.00 | $37.50 | $1.00 | $12.50 |
|
||||
| Claude Opus 4.5 | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
| Claude Opus 4.1 | $15.00 | $75.00 | $1.50 | $18.75 |
|
||||
| Claude Sonnet 4.6 (≤ 200K tokens) | $3.00 | $15.00 | $0.30 | $3.75 |
|
||||
| Claude Sonnet 4.6 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
|
||||
| Claude Sonnet 4.5 (≤ 200K tokens) | $3.00 | $15.00 | $0.30 | $3.75 |
|
||||
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
|
||||
| Claude Sonnet 4 (≤ 200K tokens) | $3.00 | $15.00 | $0.30 | $3.75 |
|
||||
| Claude Sonnet 4 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
|
||||
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
|
||||
| Claude Haiku 3.5 | $0.80 | $4.00 | $0.08 | $1.00 |
|
||||
| Gemini 3.1 Pro (≤ 200K tokens) | $2.00 | $12.00 | $0.20 | - |
|
||||
| Gemini 3.1 Pro (> 200K tokens) | $4.00 | $18.00 | $0.40 | - |
|
||||
| Gemini 3 Pro (≤ 200K tokens) | $2.00 | $12.00 | $0.20 | - |
|
||||
| Gemini 3 Pro (> 200K tokens) | $4.00 | $18.00 | $0.40 | - |
|
||||
| Gemini 3 Flash | $0.50 | $3.00 | $0.05 | - |
|
||||
| GPT 5.4 Pro | $30.00 | $180.00 | $30.00 | - |
|
||||
| GPT 5.4 | $2.50 | $15.00 | $0.25 | - |
|
||||
| GPT 5.3 Codex Spark | $1.75 | $14.00 | $0.175 | - |
|
||||
| GPT 5.3 Codex | $1.75 | $14.00 | $0.175 | - |
|
||||
| GPT 5.2 | $1.75 | $14.00 | $0.175 | - |
|
||||
| GPT 5.2 Codex | $1.75 | $14.00 | $0.175 | - |
|
||||
| GPT 5.1 | $1.07 | $8.50 | $0.107 | - |
|
||||
| GPT 5.1 Codex | $1.07 | $8.50 | $0.107 | - |
|
||||
| GPT 5.1 Codex Max | $1.25 | $10.00 | $0.125 | - |
|
||||
| GPT 5.1 Codex Mini | $0.25 | $2.00 | $0.025 | - |
|
||||
| GPT 5 | $1.07 | $8.50 | $0.107 | - |
|
||||
| GPT 5 Codex | $1.07 | $8.50 | $0.107 | - |
|
||||
| GPT 5 Nano | Free | Free | Free | - |
|
||||
|
||||
You might notice _Claude Haiku 3.5_ in your usage history. This is a [low cost model](/docs/config/#models) that's used to generate the titles of your sessions.
|
||||
|
||||
|
||||
@@ -55,6 +55,7 @@ OpenCode Zen 的工作方式与 OpenCode 中的任何其他提供商相同。
|
||||
|
||||
| 模型 | 模型 ID | 端点 | AI SDK 包 |
|
||||
| ------------------ | ------------------ | -------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
@@ -136,6 +137,7 @@ https://opencode.ai/zen/v1/models
|
||||
| Gemini 3 Pro (≤ 200K tokens) | $2.00 | $12.00 | $0.20 | - |
|
||||
| Gemini 3 Pro (> 200K tokens) | $4.00 | $18.00 | $0.40 | - |
|
||||
| Gemini 3 Flash | $0.50 | $3.00 | $0.05 | - |
|
||||
| GPT 5.4 | $2.50 | $15.00 | $0.25 | - |
|
||||
| GPT 5.3 Codex | $1.75 | $14.00 | $0.175 | - |
|
||||
| GPT 5.2 | $1.75 | $14.00 | $0.175 | - |
|
||||
| GPT 5.2 Codex | $1.75 | $14.00 | $0.175 | - |
|
||||
@@ -178,6 +180,19 @@ https://opencode.ai/zen/v1/models
|
||||
|
||||
---
|
||||
|
||||
### 已弃用模型
|
||||
|
||||
| 模型 | 弃用日期 |
|
||||
| ---------------- | ------------------ |
|
||||
| Qwen3 Coder 480B | 2026 年 2 月 6 日 |
|
||||
| Kimi K2 Thinking | 2026 年 3 月 6 日 |
|
||||
| Kimi K2 | 2026 年 3 月 6 日 |
|
||||
| MiniMax M2.1 | 2026 年 3 月 15 日 |
|
||||
| GLM 4.7 | 2026 年 3 月 15 日 |
|
||||
| GLM 4.6 | 2026 年 3 月 15 日 |
|
||||
|
||||
---
|
||||
|
||||
## 隐私
|
||||
|
||||
我们所有的模型都托管在美国。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：
|
||||
|
||||
@@ -55,6 +55,7 @@ OpenCode Zen 的工作方式與 OpenCode 中的任何其他供應商相同。
|
||||
|
||||
| 模型 | 模型 ID | 端點 | AI SDK 套件 |
|
||||
| ------------------ | ------------------ | -------------------------------------------------- | --------------------------- |
|
||||
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.3 Codex | gpt-5.3-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 | gpt-5.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.2 Codex | gpt-5.2-codex | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
@@ -136,6 +137,7 @@ https://opencode.ai/zen/v1/models
|
||||
| Gemini 3 Pro (≤ 200K Token) | $2.00 | $12.00 | $0.20 | - |
|
||||
| Gemini 3 Pro (> 200K Token) | $4.00 | $18.00 | $0.40 | - |
|
||||
| Gemini 3 Flash | $0.50 | $3.00 | $0.05 | - |
|
||||
| GPT 5.4 | $2.50 | $15.00 | $0.25 | - |
|
||||
| GPT 5.3 Codex | $1.75 | $14.00 | $0.175 | - |
|
||||
| GPT 5.2 | $1.75 | $14.00 | $0.175 | - |
|
||||
| GPT 5.2 Codex | $1.75 | $14.00 | $0.175 | - |
|
||||
@@ -178,6 +180,19 @@ https://opencode.ai/zen/v1/models
|
||||
|
||||
---
|
||||
|
||||
### 已棄用的模型
|
||||
|
||||
| 模型 | 棄用日期 |
|
||||
| ---------------- | ------------------ |
|
||||
| Qwen3 Coder 480B | 2026 年 2 月 6 日 |
|
||||
| Kimi K2 Thinking | 2026 年 3 月 6 日 |
|
||||
| Kimi K2 | 2026 年 3 月 6 日 |
|
||||
| MiniMax M2.1 | 2026 年 3 月 15 日 |
|
||||
| GLM 4.7 | 2026 年 3 月 15 日 |
|
||||
| GLM 4.6 | 2026 年 3 月 15 日 |
|
||||
|
||||
---
|
||||
|
||||
## 隱私
|
||||
|
||||
我們所有的模型都託管在美國。我們的供應商遵循零保留政策，不會將你的資料用於模型訓練，但以下情況除外：
|
||||
|
||||
Reference in New Issue
Block a user