Compare commits
1 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
 Luke Parker
|
51878822a6 |
@@ -339,8 +339,7 @@ jobs:
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env:
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OPENCODE_CHANNEL: ${{ (github.ref_name == 'beta' && 'beta') || 'prod' }}
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GH_TOKEN: ${{ steps.committer.outputs.token }}
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CSC_LINK: ${{ secrets.APPLE_CERTIFICATE }}
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CSC_KEY_PASSWORD: ${{ secrets.APPLE_CERTIFICATE_PASSWORD }}
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CSC_KEYCHAIN: build.keychain
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APPLE_API_KEY: ${{ runner.temp }}/apple-api-key.p8
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APPLE_API_KEY_ID: ${{ secrets.APPLE_API_KEY }}
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APPLE_API_ISSUER: ${{ secrets.APPLE_API_ISSUER }}
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@@ -1,60 +0,0 @@
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import { expect, test } from "@playwright/test"
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import type { Page } from "@playwright/test"
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import { fixture, pageMessages } from "../smoke/session-timeline.fixture"
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import { mockOpenCodeServer } from "../utils/mock-server"
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import { expectAppVisible } from "../utils/waits"
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const NAMES = ["alpha-service", "bravo-web", "charlie-api", "delta-tools", "echo-infra", "foxtrot-docs"]
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const worktrees = NAMES.map((name) => `/opencode-demo/${name}`)
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// The sixth project sits outside the five-item recent cap, so it is only reachable if the
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// dialog hands every recent project to the list filter instead of a pre-truncated slice.
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const OUTSIDE_CAP = "foxtrot-docs"
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// Dialog rows carry data-directory-path; the sidebar project list does not, so this
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// scopes assertions to the picker instead of matching the sidebar entry of the same name.
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const rows = (page: Page) => page.locator("[data-directory-path]")
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const row = (page: Page, name: string) => page.locator(`[data-directory-path*="${name}"]`)
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async function openProjectDialog(page: Page) {
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await mockOpenCodeServer(page, {
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sessions: fixture.sessions,
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provider: fixture.provider,
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directory: fixture.directory,
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project: fixture.project,
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pageMessages,
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fileList: () => [],
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findFiles: () => [],
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})
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await page.addInitScript((dirs) => {
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localStorage.setItem(
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"opencode.global.dat:server",
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JSON.stringify({
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projects: { local: dirs.map((worktree: string) => ({ worktree, expanded: false })) },
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lastProject: {},
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}),
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)
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}, worktrees)
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await page.goto("/")
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const add = page.getByRole("button", { name: "Add project" }).first()
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await expectAppVisible(add)
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await add.click()
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await expect(rows(page)).toHaveCount(5)
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return page.getByRole("textbox").last()
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}
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test("searches every recent project, not just the five most recent", async ({ page }) => {
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const search = await openProjectDialog(page)
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await expect(row(page, OUTSIDE_CAP)).toHaveCount(0)
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await search.fill("foxtrot")
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await expect(row(page, OUTSIDE_CAP)).toHaveCount(1)
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})
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test("still caps the idle recent list at five projects", async ({ page }) => {
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await openProjectDialog(page)
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await expect(row(page, NAMES[4])).toHaveCount(1)
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await expect(row(page, OUTSIDE_CAP)).toHaveCount(0)
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})
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@@ -18,8 +18,6 @@ interface DialogSelectDirectoryProps {
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server: ServerConnection.Any
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}
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const RECENT_PROJECT_LIMIT = 5
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type Row = {
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absolute: string
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search: string
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@@ -104,6 +102,7 @@ export function DialogSelectDirectory(props: DialogSelectDirectoryProps) {
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return projects
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.map((project, index) => ({ project, at: byProject.get(project.worktree) ?? 0, index }))
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.sort((a, b) => b.at - a.at || a.index - b.index)
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.slice(0, 5)
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.map(({ project }) => {
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const row = toRow(project.worktree, home(), "recent")
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const name = project.name || getFilename(project.worktree)
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@@ -117,10 +116,7 @@ export function DialogSelectDirectory(props: DialogSelectDirectoryProps) {
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const items = async (value: string) => {
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const results = await directories(value)
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const directoryRows = results.map((absolute) => toRow(absolute, home(), "folders"))
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// Cap the idle list only. Once a query narrows the results, every project stays searchable.
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const recent = recentProjects()
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const visible = value ? recent : recent.slice(0, RECENT_PROJECT_LIMIT)
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return uniqueRows([...visible, ...directoryRows])
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return uniqueRows([...recentProjects(), ...directoryRows])
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}
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function resolve(absolute: string) {
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@@ -8,7 +8,6 @@ import {
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bootstrapDirectory,
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loadAgentsQuery,
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loadCommands,
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loadGlobalConfigQuery,
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loadPathQuery,
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loadProjectsQuery,
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loadProvidersQuery,
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@@ -77,7 +76,6 @@ function directoryState() {
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describe("bootstrapDirectory", () => {
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test("uses legacy MCP endpoints while refreshing a v1 directory", async () => {
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const legacyConfigReads: string[] = []
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const mcpReads: string[] = []
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const [store, setStore] = directoryState()
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@@ -93,12 +91,7 @@ describe("bootstrapDirectory", () => {
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},
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sdk: {
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app: { agents: async () => ({ data: [{ name: "build", mode: "primary" }] }) },
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config: {
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get: async () => {
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legacyConfigReads.push("directory")
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return { data: {} }
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},
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},
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config: { get: async () => ({ data: {} }) },
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session: { status: async () => ({ data: {} }) },
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vcs: { get: async () => ({ data: undefined }) },
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command: {
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@@ -141,88 +134,8 @@ describe("bootstrapDirectory", () => {
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await new Promise((resolve) => setTimeout(resolve, 80))
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expect(store.status).toBe("complete")
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expect(legacyConfigReads).toEqual(["directory"])
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expect(mcpReads.sort()).toEqual(["command", "resource", "status"])
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})
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test("skips legacy config while refreshing a v2 directory", async () => {
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const [store, setStore] = directoryState()
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await bootstrapDirectory({
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directory: "/project",
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scope: ServerScope.local,
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mcp: false,
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global: {
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config: {} satisfies Config,
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path: { state: "", config: "", worktree: "/project", directory: "/project", home: "/home" },
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project: [{ id: "project", worktree: "/project" } as Project],
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provider,
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},
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sdk: {
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config: {
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get: async () => {
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throw new Error("legacy directory config should not be called")
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},
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},
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} as unknown as OpencodeClient,
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api,
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store,
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setStore,
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vcsCache: { setStore() {} } as unknown as VcsCache,
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loadSessions() {},
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translate: (key) => key,
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queryClient: new QueryClient(),
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protocol: Promise.resolve("v2"),
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})
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expect(store.status).toBe("partial")
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await new Promise((resolve) => setTimeout(resolve, 80))
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expect(store.status).toBe("complete")
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})
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})
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describe("config queries", () => {
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test("skips legacy global config for v2 servers", async () => {
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const sdk = {
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global: {
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config: {
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get: async () => {
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throw new Error("legacy global config should not be called")
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},
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},
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},
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} as unknown as OpencodeClient
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const result = await new QueryClient().fetchQuery(
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loadGlobalConfigQuery(ServerScope.local, sdk, Promise.resolve("v2")),
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)
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expect(result).toEqual({})
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})
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test("loads legacy global config for v1 servers", async () => {
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const calls: string[] = []
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const config = { shell: "zsh" } satisfies Config
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const sdk = {
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global: {
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config: {
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get: async () => {
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calls.push("global")
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return { data: config }
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},
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},
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},
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} as unknown as OpencodeClient
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const result = await new QueryClient().fetchQuery(
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loadGlobalConfigQuery(ServerScope.local, sdk, Promise.resolve("v1")),
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)
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expect(result).toEqual(config)
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expect(calls).toEqual(["global"])
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})
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})
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describe("query keys", () => {
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@@ -105,13 +105,10 @@ function showErrors(input: {
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})
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}
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export const loadGlobalConfigQuery = (scope: ServerScope, sdk: OpencodeClient, protocol?: Promise<ServerProtocol>) =>
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export const loadGlobalConfigQuery = (scope: ServerScope, sdk: OpencodeClient) =>
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queryOptions({
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queryKey: [scope, "config"],
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queryFn: async () => {
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if ((await protocol) !== "v1") return {}
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return retry(() => sdk.global.config.get().then((x) => x.data!))
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},
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queryFn: () => retry(() => sdk.global.config.get().then((x) => x.data!)),
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})
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type ProjectApi = {
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@@ -152,7 +149,7 @@ export async function bootstrapGlobal(input: {
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queryClient: QueryClient
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}) {
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const slow = [
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() => input.queryClient.fetchQuery(loadGlobalConfigQuery(input.scope, input.serverSDK, input.protocol)),
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() => input.queryClient.fetchQuery(loadGlobalConfigQuery(input.scope, input.serverSDK)),
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() =>
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input.queryClient.fetchQuery(
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loadProvidersQuery(input.scope, null, input.serverAPI, input.serverSDK, input.protocol),
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@@ -379,10 +376,7 @@ export async function bootstrapDirectory(input: {
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.ensureQueryData(loadAgentsQuery(input.scope, input.directory, input.api.agent, input.sdk, input.protocol))
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.then((data) => input.setStore("agent", data)),
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() =>
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retry(async () => {
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if ((await input.protocol) !== "v1") return
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return input.sdk.config.get().then((x) => input.setStore("config", reconcile(x.data!, { merge: false })))
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}),
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retry(() => input.sdk.config.get().then((x) => input.setStore("config", reconcile(x.data!, { merge: false })))),
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() =>
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retry(() =>
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(async () => {
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@@ -184,7 +184,7 @@ function makeQueryOptionsApi(
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protocol: Promise<"v1" | "v2">,
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) {
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return {
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globalConfig: () => loadGlobalConfigQuery(scope, serverSDK(), protocol),
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globalConfig: () => loadGlobalConfigQuery(scope, serverSDK()),
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projects: () => loadProjectsQuery(scope, serverAPI.project),
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providers: (directory: PathKey | null) =>
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loadProvidersQuery(scope, directory, serverAPI, directory ? sdkFor(directory) : serverSDK(), protocol),
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@@ -167,41 +167,4 @@ describe("current session timeline rows", () => {
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"thinking:msg_2",
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])
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})
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test("removes a failed assistant error when the turn continues streaming", () => {
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const source = [
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{ id: "msg_user", type: "user", text: "recover", time: { created: 1 } },
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{
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id: "msg_failed",
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type: "assistant",
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agent: "build",
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model: { id: "model", providerID: "provider" },
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content: [],
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error: { type: "ProviderError", message: "temporary failure" },
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time: { created: 2, completed: 3 },
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},
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{
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id: "msg_recovery",
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type: "assistant",
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agent: "build",
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model: { id: "model", providerID: "provider" },
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content: [{ type: "text", text: "streaming again" }],
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time: { created: 4 },
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},
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] satisfies SessionMessageInfo[]
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const normalized = normalizeSessionMessages("ses_1", source)
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const messages = new Map(normalized.messages.map((message) => [message.id, message]))
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const result = Timeline.constructSessionMessageRows(
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source,
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(messageID) => messages.get(messageID),
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(messageID) => normalized.parts.get(messageID) ?? [],
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true,
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"busy",
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true,
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normalized.messages.filter((message) => message.role === "user"),
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)
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expect(result.rows.map((row) => row._tag)).toEqual(["UserMessage", "AssistantPart"])
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})
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})
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@@ -116,8 +116,7 @@ export namespace Timeline {
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const compaction = userParts.some((p) => p.type === "compaction")
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const interruptedMessageIndex = assistantMessages.findIndex((m) => m.error?.name === "MessageAbortedError")
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const interrupted = interruptedMessageIndex !== -1
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const latestError = assistantMessages.at(-1)?.error
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const error = latestError?.name === "MessageAbortedError" ? undefined : latestError
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const error = assistantMessages.find((m) => m.error && m.error.name !== "MessageAbortedError")?.error
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const assistantPartRefs = assistantMessages.flatMap((message, messageIndex) =>
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getMessageParts(message.id)
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@@ -32,7 +32,6 @@ const models = [
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{ name: "Kimi K2.6", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
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{ name: "MiMo-V2.5-Pro", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
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{ name: "MiMo-V2.5", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
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{ name: "Qwen3.8 Max", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
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{ name: "Qwen3.7 Max", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
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{ name: "Qwen3.7 Plus", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
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{ name: "Qwen3.6 Plus", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
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@@ -68,7 +67,6 @@ function LimitsGraph(props: { href: string }) {
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const graph = [
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{ id: "grok-4.5", name: "Grok 4.5", req: 120, d: "50ms" },
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{ id: "kimi-k3", name: "Kimi K3", req: 110, d: "75ms" },
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{ id: "qwen3.8-max", name: "Qwen3.8 Max", req: 160, d: "90ms" },
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{ id: "glm-5.2", name: "GLM-5.2", req: 880, d: "100ms" },
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{ id: "minimax-m3", name: "MiniMax M3", req: 3200, d: "210ms" },
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{ id: "deepseek-v4-pro", name: "DeepSeek V4 Pro", req: 3450, d: "270ms" },
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@@ -313,7 +313,6 @@ export function LiteSection(props: { lite: LiteSubscription | undefined }) {
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<li>Kimi K2.6</li>
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<li>MiniMax M3</li>
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<li>MiniMax M2.7</li>
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<li>Qwen3.8 Max</li>
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<li>Qwen3.7 Max</li>
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<li>Qwen3.7 Plus</li>
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<li>Qwen3.6 Plus</li>
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@@ -60,7 +60,6 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
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- **MiMo-V2.5-Pro**
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- **MiniMax M3**
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- **MiniMax M2.7**
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- **Qwen3.8 Max**
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- **Qwen3.7 Max**
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- **Qwen3.7 Plus**
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- **Qwen3.6 Plus**
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@@ -97,8 +96,7 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
|
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| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
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| MiniMax M3 | 3,200 | 8,000 | 16,000 |
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| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
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||||
| Qwen3.8 Max | 160 | 400 | 810 |
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||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
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||||
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
|
||||
@@ -116,7 +114,6 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
|
||||
- DeepSeek V4 Flash — 790 input، و68,000 cached، و280 output tokens لكل طلب
|
||||
- MiniMax M3 — 510 input، و56,000 cached، و190 output tokens لكل طلب
|
||||
- MiniMax M2.7 — 300 input، و55,000 cached، و125 output tokens لكل طلب
|
||||
- Qwen3.8 Max — 420 input، و66,000 cached، و200 output tokens لكل طلب
|
||||
- Qwen3.7 Max — 420 input، و66,000 cached، و200 output tokens لكل طلب
|
||||
- Qwen3.7 Plus — 500 input، و57,000 cached، و190 output tokens لكل طلب
|
||||
- Qwen3.6 Plus — 500 input، و57,000 cached، و190 output tokens لكل طلب
|
||||
@@ -141,7 +138,6 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
|
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| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
|
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| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
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| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
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| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
|
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| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
|
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| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
|
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| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
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@@ -199,7 +195,6 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
|
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| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
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| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
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| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -232,7 +227,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| Kimi K2.6 | 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 |
|
||||
| Qwen3.7 Max | غير مستخدَمة | 0 أيام |
|
||||
| Qwen3.7 Plus | غير مستخدَمة | 0 أيام |
|
||||
| Qwen3.6 Plus | غير مستخدَمة | 0 أيام |
|
||||
|
||||
@@ -70,7 +70,6 @@ Trenutna lista modela uključuje:
|
||||
- **MiMo-V2.5-Pro**
|
||||
- **MiniMax M3**
|
||||
- **MiniMax M2.7**
|
||||
- **Qwen3.8 Max**
|
||||
- **Qwen3.7 Max**
|
||||
- **Qwen3.7 Plus**
|
||||
- **Qwen3.6 Plus**
|
||||
@@ -107,8 +106,7 @@ Tabela ispod pruža procijenjeni broj zahtjeva na osnovu tipičnih obrazaca kori
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
|
||||
| Qwen3.8 Max | 160 | 400 | 810 |
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
|
||||
@@ -126,7 +124,6 @@ Procjene se zasnivaju na zapaženim obrascima zahtjeva:
|
||||
- DeepSeek V4 Flash — 790 ulaznih, 68,000 keširanih, 280 izlaznih tokena po zahtjevu
|
||||
- MiniMax M3 — 510 ulaznih, 56,000 keširanih, 190 izlaznih tokena po zahtjevu
|
||||
- MiniMax M2.7 — 300 ulaznih, 55,000 keširanih, 125 izlaznih tokena po zahtjevu
|
||||
- Qwen3.8 Max — 420 ulaznih, 66,000 keširanih, 200 izlaznih tokena po zahtjevu
|
||||
- Qwen3.7 Max — 420 ulaznih, 66,000 keširanih, 200 izlaznih tokena po zahtjevu
|
||||
- Qwen3.7 Plus — 500 ulaznih, 57,000 keširanih, 190 izlaznih tokena po zahtjevu
|
||||
- Qwen3.6 Plus — 500 ulaznih, 57,000 keširanih, 190 izlaznih tokena po zahtjevu
|
||||
@@ -151,7 +148,6 @@ Procjene se također zasnivaju na sljedećim cijenama po 1M tokena i mjesečnoj
|
||||
| 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 |
|
||||
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
@@ -211,7 +207,6 @@ Također možete pristupiti Go modelima putem sljedećih API endpointa.
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -246,7 +241,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| Kimi K2.6 | 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 |
|
||||
| Qwen3.7 Max | Ne koristi se | 0 dana |
|
||||
| Qwen3.7 Plus | Ne koristi se | 0 dana |
|
||||
| Qwen3.6 Plus | Ne koristi se | 0 dana |
|
||||
|
||||
@@ -70,7 +70,6 @@ Den nuværende liste over modeller inkluderer:
|
||||
- **MiMo-V2.5-Pro**
|
||||
- **MiniMax M3**
|
||||
- **MiniMax M2.7**
|
||||
- **Qwen3.8 Max**
|
||||
- **Qwen3.7 Max**
|
||||
- **Qwen3.7 Plus**
|
||||
- **Qwen3.6 Plus**
|
||||
@@ -107,8 +106,7 @@ Tabellen nedenfor giver et estimeret antal anmodninger baseret på typiske Go-fo
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
|
||||
| Qwen3.8 Max | 160 | 400 | 810 |
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
|
||||
@@ -126,7 +124,6 @@ Estimaterne er baseret på observerede anmodningsmønstre:
|
||||
- DeepSeek V4 Flash — 790 input, 68.000 cachelagrede, 280 output-tokens pr. anmodning
|
||||
- MiniMax M3 — 510 input, 56.000 cachelagrede, 190 output-tokens pr. anmodning
|
||||
- MiniMax M2.7 — 300 input, 55.000 cachelagrede, 125 output-tokens pr. anmodning
|
||||
- Qwen3.8 Max — 420 input, 66.000 cachelagrede, 200 output-tokens pr. anmodning
|
||||
- Qwen3.7 Max — 420 input, 66.000 cachelagrede, 200 output-tokens pr. anmodning
|
||||
- Qwen3.7 Plus — 500 input, 57.000 cachelagrede, 190 output-tokens pr. anmodning
|
||||
- Qwen3.6 Plus — 500 input, 57.000 cachelagrede, 190 output-tokens pr. anmodning
|
||||
@@ -151,7 +148,6 @@ Estimaterne er også baseret på følgende priser pr. 1M tokens og det månedlig
|
||||
| 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 |
|
||||
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
@@ -211,7 +207,6 @@ Du kan også få adgang til Go-modeller gennem følgende API-endpoints.
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -246,7 +241,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| Kimi K2.6 | 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 |
|
||||
| Qwen3.7 Max | Ikke brugt | 0 dage |
|
||||
| Qwen3.7 Plus | Ikke brugt | 0 dage |
|
||||
| Qwen3.6 Plus | Ikke brugt | 0 dage |
|
||||
|
||||
@@ -62,7 +62,6 @@ Die aktuelle Liste der Modelle umfasst:
|
||||
- **MiMo-V2.5-Pro**
|
||||
- **MiniMax M3**
|
||||
- **MiniMax M2.7**
|
||||
- **Qwen3.8 Max**
|
||||
- **Qwen3.7 Max**
|
||||
- **Qwen3.7 Plus**
|
||||
- **Qwen3.6 Plus**
|
||||
@@ -99,8 +98,7 @@ Die folgende Tabelle zeigt eine geschätzte Anzahl von Anfragen basierend auf ty
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
|
||||
| Qwen3.8 Max | 160 | 400 | 810 |
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
|
||||
@@ -118,7 +116,6 @@ Die Schätzungen basieren auf beobachteten Anfragemustern:
|
||||
- DeepSeek V4 Flash — 790 Input-, 68.000 Cached-, 280 Output-Tokens pro Anfrage
|
||||
- MiniMax M3 — 510 Input-, 56.000 Cached-, 190 Output-Tokens pro Anfrage
|
||||
- MiniMax M2.7 — 300 Input-, 55.000 Cached-, 125 Output-Tokens pro Anfrage
|
||||
- Qwen3.8 Max — 420 Input-, 66.000 Cached-, 200 Output-Tokens pro Anfrage
|
||||
- Qwen3.7 Max — 420 Input-, 66.000 Cached-, 200 Output-Tokens pro Anfrage
|
||||
- Qwen3.7 Plus — 500 Input-, 57.000 Cached-, 190 Output-Tokens pro Anfrage
|
||||
- Qwen3.6 Plus — 500 Input-, 57.000 Cached-, 190 Output-Tokens pro Anfrage
|
||||
@@ -143,7 +140,6 @@ Die Schätzungen basieren außerdem auf den folgenden Preisen pro 1M Tokens und
|
||||
| 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 |
|
||||
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
@@ -201,7 +197,6 @@ Du kannst auf die Go-Modelle auch über die folgenden API-Endpunkte zugreifen.
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -234,7 +229,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| Kimi K2.6 | 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 |
|
||||
| Qwen3.7 Max | Nicht verwendet | 0 Tage |
|
||||
| Qwen3.7 Plus | Nicht verwendet | 0 Tage |
|
||||
| Qwen3.6 Plus | Nicht verwendet | 0 Tage |
|
||||
|
||||
@@ -70,7 +70,6 @@ La lista actual de modelos incluye:
|
||||
- **MiMo-V2.5-Pro**
|
||||
- **MiniMax M3**
|
||||
- **MiniMax M2.7**
|
||||
- **Qwen3.8 Max**
|
||||
- **Qwen3.7 Max**
|
||||
- **Qwen3.7 Plus**
|
||||
- **Qwen3.6 Plus**
|
||||
@@ -107,8 +106,7 @@ La siguiente tabla proporciona una cantidad estimada de peticiones basada en los
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
|
||||
| Qwen3.8 Max | 160 | 400 | 810 |
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
|
||||
@@ -126,7 +124,6 @@ Las estimaciones se basan en los patrones de peticiones observados:
|
||||
- DeepSeek V4 Flash — 790 tokens de entrada, 68,000 en caché, 280 tokens de salida por petición
|
||||
- MiniMax M3 — 510 tokens de entrada, 56,000 en caché, 190 tokens de salida por petición
|
||||
- MiniMax M2.7 — 300 tokens de entrada, 55,000 en caché, 125 tokens de salida por petición
|
||||
- Qwen3.8 Max — 420 tokens de entrada, 66,000 en caché, 200 tokens de salida por petición
|
||||
- Qwen3.7 Max — 420 tokens de entrada, 66,000 en caché, 200 tokens de salida por petición
|
||||
- Qwen3.7 Plus — 500 tokens de entrada, 57,000 en caché, 190 tokens de salida por petición
|
||||
- Qwen3.6 Plus — 500 tokens de entrada, 57,000 en caché, 190 tokens de salida por petición
|
||||
@@ -151,7 +148,6 @@ Las estimaciones también se basan en los siguientes precios por 1M tokens y en
|
||||
| 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 |
|
||||
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
@@ -211,7 +207,6 @@ También puedes acceder a los modelos de Go a través de los siguientes endpoint
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -246,7 +241,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| Kimi K2.6 | 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 |
|
||||
| Qwen3.7 Max | No utilizado | 0 días |
|
||||
| Qwen3.7 Plus | No utilizado | 0 días |
|
||||
| Qwen3.6 Plus | No utilizado | 0 días |
|
||||
|
||||
@@ -60,7 +60,6 @@ La liste actuelle des modèles comprend :
|
||||
- **MiMo-V2.5-Pro**
|
||||
- **MiniMax M3**
|
||||
- **MiniMax M2.7**
|
||||
- **Qwen3.8 Max**
|
||||
- **Qwen3.7 Max**
|
||||
- **Qwen3.7 Plus**
|
||||
- **Qwen3.6 Plus**
|
||||
@@ -97,8 +96,7 @@ Le tableau ci-dessous fournit une estimation du nombre de requêtes basée sur d
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
|
||||
| Qwen3.8 Max | 160 | 400 | 810 |
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
|
||||
@@ -116,7 +114,6 @@ Les estimations sont basées sur les schémas de requêtes observés :
|
||||
- DeepSeek V4 Flash — 790 tokens en entrée, 68,000 en cache, 280 tokens en sortie par requête
|
||||
- MiniMax M3 — 510 tokens en entrée, 56,000 en cache, 190 tokens en sortie par requête
|
||||
- MiniMax M2.7 — 300 tokens en entrée, 55,000 en cache, 125 tokens en sortie par requête
|
||||
- Qwen3.8 Max — 420 tokens en entrée, 66,000 en cache, 200 tokens en sortie par requête
|
||||
- Qwen3.7 Max — 420 tokens en entrée, 66,000 en cache, 200 tokens en sortie par requête
|
||||
- Qwen3.7 Plus — 500 tokens en entrée, 57,000 en cache, 190 tokens en sortie par requête
|
||||
- Qwen3.6 Plus — 500 tokens en entrée, 57,000 en cache, 190 tokens en sortie par requête
|
||||
@@ -141,7 +138,6 @@ Les estimations sont également basées sur les prix suivants par 1M tokens et s
|
||||
| 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 |
|
||||
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
@@ -199,7 +195,6 @@ Vous pouvez également accéder aux modèles Go via les points de terminaison d'
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -232,7 +227,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| Kimi K2.6 | 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 |
|
||||
| Qwen3.7 Max | Non utilisé | 0 jour |
|
||||
| Qwen3.7 Plus | Non utilisé | 0 jour |
|
||||
| Qwen3.6 Plus | Non utilisé | 0 jour |
|
||||
|
||||
@@ -70,7 +70,6 @@ The current list of models includes:
|
||||
- **MiMo-V2.5-Pro**
|
||||
- **MiniMax M3**
|
||||
- **MiniMax M2.7**
|
||||
- **Qwen3.8 Max**
|
||||
- **Qwen3.7 Max**
|
||||
- **Qwen3.7 Plus**
|
||||
- **Qwen3.6 Plus**
|
||||
@@ -107,8 +106,7 @@ The table below provides an estimated request count based on typical Go usage pa
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
|
||||
| Qwen3.8 Max | 160 | 400 | 810 |
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
|
||||
@@ -128,7 +126,6 @@ The estimates are based on observed request patterns:
|
||||
- MiniMax M2.7 — 300 input, 55,000 cached, 125 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
|
||||
- Qwen3.7 Max — 420 input, 66,000 cached, 200 output tokens per request
|
||||
- Qwen3.7 Plus — 500 input, 57,000 cached, 190 output tokens per request
|
||||
- Qwen3.6 Plus — 500 input, 57,000 cached, 190 output tokens per request
|
||||
@@ -151,7 +148,6 @@ The estimates are also based on the following prices per 1M tokens and the month
|
||||
| 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 |
|
||||
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
@@ -211,7 +207,6 @@ You can also access Go models through the following API endpoints.
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -246,7 +241,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| Kimi K2.6 | 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 |
|
||||
| Qwen3.7 Max | Not used | 0 days |
|
||||
| Qwen3.7 Plus | Not used | 0 days |
|
||||
| Qwen3.6 Plus | Not used | 0 days |
|
||||
|
||||
@@ -68,7 +68,6 @@ L'elenco attuale dei modelli include:
|
||||
- **MiMo-V2.5-Pro**
|
||||
- **MiniMax M3**
|
||||
- **MiniMax M2.7**
|
||||
- **Qwen3.8 Max**
|
||||
- **Qwen3.7 Max**
|
||||
- **Qwen3.7 Plus**
|
||||
- **Qwen3.6 Plus**
|
||||
@@ -105,8 +104,7 @@ La tabella seguente fornisce una stima del conteggio delle richieste in base a p
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
|
||||
| Qwen3.8 Max | 160 | 400 | 810 |
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
|
||||
@@ -124,7 +122,6 @@ Le stime si basano sui pattern di richieste osservati:
|
||||
- DeepSeek V4 Flash — 790 di input, 68.000 in cache, 280 token di output per richiesta
|
||||
- MiniMax M3 — 510 di input, 56.000 in cache, 190 token di output per richiesta
|
||||
- MiniMax M2.7 — 300 di input, 55.000 in cache, 125 token di output per richiesta
|
||||
- Qwen3.8 Max — 420 di input, 66.000 in cache, 200 token di output per richiesta
|
||||
- Qwen3.7 Max — 420 di input, 66.000 in cache, 200 token di output per richiesta
|
||||
- Qwen3.7 Plus — 500 di input, 57.000 in cache, 190 token di output per richiesta
|
||||
- Qwen3.6 Plus — 500 di input, 57.000 in cache, 190 token di output per richiesta
|
||||
@@ -149,7 +146,6 @@ Le stime si basano anche sui seguenti prezzi per 1M token e sull'utilizzo mensil
|
||||
| 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 |
|
||||
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
@@ -209,7 +205,6 @@ Puoi anche accedere ai modelli Go tramite i seguenti endpoint API.
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -244,7 +239,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| Kimi K2.6 | 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 |
|
||||
| Qwen3.7 Max | Non utilizzato | 0 giorni |
|
||||
| Qwen3.7 Plus | Non utilizzato | 0 giorni |
|
||||
| Qwen3.6 Plus | Non utilizzato | 0 giorni |
|
||||
|
||||
@@ -60,7 +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
|
||||
- **MiMo-V2.5-Pro**
|
||||
- **MiniMax M3**
|
||||
- **MiniMax M2.7**
|
||||
- **Qwen3.8 Max**
|
||||
- **Qwen3.7 Max**
|
||||
- **Qwen3.7 Plus**
|
||||
- **Qwen3.6 Plus**
|
||||
@@ -97,8 +96,7 @@ OpenCode Goには以下の制限が含まれています：
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
|
||||
| Qwen3.8 Max | 160 | 400 | 810 |
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
|
||||
@@ -116,7 +114,6 @@ OpenCode Goには以下の制限が含まれています：
|
||||
- DeepSeek V4 Flash — リクエストあたり 入力 790トークン、キャッシュ 68,000トークン、出力 280トークン
|
||||
- MiniMax M3 — リクエストあたり 入力 510トークン、キャッシュ 56,000トークン、出力 190トークン
|
||||
- MiniMax M2.7 — リクエストあたり 入力 300トークン、キャッシュ 55,000トークン、出力 125トークン
|
||||
- Qwen3.8 Max — リクエストあたり 入力 420トークン、キャッシュ 66,000トークン、出力 200トークン
|
||||
- Qwen3.7 Max — リクエストあたり 入力 420トークン、キャッシュ 66,000トークン、出力 200トークン
|
||||
- Qwen3.7 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
|
||||
- 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
|
||||
@@ -141,7 +138,6 @@ OpenCode Goには以下の制限が含まれています：
|
||||
| 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 |
|
||||
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
@@ -199,7 +195,6 @@ Goでは月額$10を支払い、その6倍の利用枠を提供することを
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -232,7 +227,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| Kimi K2.6 | 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 |
|
||||
| Qwen3.7 Max | 使用なし | 0日 |
|
||||
| Qwen3.7 Plus | 使用なし | 0日 |
|
||||
| Qwen3.6 Plus | 使用なし | 0日 |
|
||||
|
||||
@@ -60,7 +60,6 @@ workspace당 한 명의 멤버만 OpenCode Go를 구독할 수 있습니다.
|
||||
- **MiMo-V2.5-Pro**
|
||||
- **MiniMax M3**
|
||||
- **MiniMax M2.7**
|
||||
- **Qwen3.8 Max**
|
||||
- **Qwen3.7 Max**
|
||||
- **Qwen3.7 Plus**
|
||||
- **Qwen3.6 Plus**
|
||||
@@ -97,8 +96,7 @@ OpenCode Go에는 다음과 같은 한도가 포함됩니다.
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
|
||||
| Qwen3.8 Max | 160 | 400 | 810 |
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
|
||||
@@ -116,7 +114,6 @@ OpenCode Go에는 다음과 같은 한도가 포함됩니다.
|
||||
- DeepSeek V4 Flash — 요청당 입력 790, 캐시 68,000, 출력 토큰 280
|
||||
- MiniMax M3 — 요청당 입력 510, 캐시 56,000, 출력 토큰 190
|
||||
- MiniMax M2.7 — 요청당 입력 300, 캐시 55,000, 출력 토큰 125
|
||||
- Qwen3.8 Max — 요청당 입력 420, 캐시 66,000, 출력 토큰 200
|
||||
- Qwen3.7 Max — 요청당 입력 420, 캐시 66,000, 출력 토큰 200
|
||||
- Qwen3.7 Plus — 요청당 입력 500, 캐시 57,000, 출력 토큰 190
|
||||
- Qwen3.6 Plus — 요청당 입력 500, 캐시 57,000, 출력 토큰 190
|
||||
@@ -141,7 +138,6 @@ OpenCode Go에는 다음과 같은 한도가 포함됩니다.
|
||||
| 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 |
|
||||
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
@@ -199,7 +195,6 @@ Go에서는 월 $10를 지불하며, 저희는 그 6배의 사용량을 제공
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -232,7 +227,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| Kimi K2.6 | 사용되지 않음 | 0일 |
|
||||
| MiMo-V2.5-Pro | 사용되지 않음 | 0일 |
|
||||
| MiMo-V2.5 | 사용되지 않음 | 0일 |
|
||||
| Qwen3.8 Max | 사용되지 않음 | 0일 |
|
||||
| Qwen3.7 Max | 사용되지 않음 | 0일 |
|
||||
| Qwen3.7 Plus | 사용되지 않음 | 0일 |
|
||||
| Qwen3.6 Plus | 사용되지 않음 | 0일 |
|
||||
|
||||
@@ -70,7 +70,6 @@ Den nåværende listen over modeller inkluderer:
|
||||
- **MiMo-V2.5-Pro**
|
||||
- **MiniMax M3**
|
||||
- **MiniMax M2.7**
|
||||
- **Qwen3.8 Max**
|
||||
- **Qwen3.7 Max**
|
||||
- **Qwen3.7 Plus**
|
||||
- **Qwen3.6 Plus**
|
||||
@@ -107,8 +106,7 @@ Tabellen nedenfor gir et estimert antall forespørsler basert på typiske bruksm
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
|
||||
| Qwen3.8 Max | 160 | 400 | 810 |
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
|
||||
@@ -126,7 +124,6 @@ Estimatene er basert på observerte forespørselsmønstre:
|
||||
- DeepSeek V4 Flash — 790 input, 68 000 bufret, 280 output-tokens per forespørsel
|
||||
- MiniMax M3 — 510 input, 56 000 bufret, 190 output-tokens per forespørsel
|
||||
- MiniMax M2.7 — 300 input, 55 000 bufret, 125 output-tokens per forespørsel
|
||||
- Qwen3.8 Max — 420 input, 66 000 bufret, 200 output-tokens per forespørsel
|
||||
- Qwen3.7 Max — 420 input, 66 000 bufret, 200 output-tokens per forespørsel
|
||||
- Qwen3.7 Plus — 500 input, 57 000 bufret, 190 output-tokens per forespørsel
|
||||
- Qwen3.6 Plus — 500 input, 57 000 bufret, 190 output-tokens per forespørsel
|
||||
@@ -151,7 +148,6 @@ Estimatene er også basert på følgende priser per 1M tokens og den månedlige
|
||||
| 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 |
|
||||
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
@@ -211,7 +207,6 @@ Du kan også få tilgang til Go-modeller gjennom følgende API-endepunkter.
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -246,7 +241,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| Kimi K2.6 | 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 |
|
||||
| Qwen3.7 Max | Brukes ikke | 0 dager |
|
||||
| Qwen3.7 Plus | Brukes ikke | 0 dager |
|
||||
| Qwen3.6 Plus | Brukes ikke | 0 dager |
|
||||
|
||||
@@ -64,7 +64,6 @@ Obecna lista modeli obejmuje:
|
||||
- **MiMo-V2.5-Pro**
|
||||
- **MiniMax M3**
|
||||
- **MiniMax M2.7**
|
||||
- **Qwen3.8 Max**
|
||||
- **Qwen3.7 Max**
|
||||
- **Qwen3.7 Plus**
|
||||
- **Qwen3.6 Plus**
|
||||
@@ -101,8 +100,7 @@ Poniższa tabela przedstawia szacunkową liczbę żądań na podstawie typowych
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
|
||||
| Qwen3.8 Max | 160 | 400 | 810 |
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
|
||||
@@ -120,7 +118,6 @@ Szacunki te opierają się na zaobserwowanych wzorcach żądań:
|
||||
- DeepSeek V4 Flash — 790 tokenów wejściowych, 68 000 w pamięci podręcznej, 280 tokenów wyjściowych na żądanie
|
||||
- MiniMax M3 — 510 tokenów wejściowych, 56 000 w pamięci podręcznej, 190 tokenów wyjściowych na żądanie
|
||||
- MiniMax M2.7 — 300 tokenów wejściowych, 55 000 w pamięci podręcznej, 125 tokenów wyjściowych na żądanie
|
||||
- Qwen3.8 Max — 420 tokenów wejściowych, 66 000 w pamięci podręcznej, 200 tokenów wyjściowych na żądanie
|
||||
- Qwen3.7 Max — 420 tokenów wejściowych, 66 000 w pamięci podręcznej, 200 tokenów wyjściowych na żądanie
|
||||
- Qwen3.7 Plus — 500 tokenów wejściowych, 57 000 w pamięci podręcznej, 190 tokenów wyjściowych na żądanie
|
||||
- Qwen3.6 Plus — 500 tokenów wejściowych, 57 000 w pamięci podręcznej, 190 tokenów wyjściowych na żądanie
|
||||
@@ -145,7 +142,6 @@ Szacunki opierają się również na następujących cenach za 1M tokenów oraz
|
||||
| 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 |
|
||||
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
@@ -203,7 +199,6 @@ Możesz również uzyskać dostęp do modeli Go za pośrednictwem następującyc
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -238,7 +233,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| Kimi K2.6 | Niewykorzystywane | 0 dni |
|
||||
| MiMo-V2.5-Pro | Niewykorzystywane | 0 dni |
|
||||
| MiMo-V2.5 | Niewykorzystywane | 0 dni |
|
||||
| Qwen3.8 Max | Niewykorzystywane | 0 dni |
|
||||
| Qwen3.7 Max | Niewykorzystywane | 0 dni |
|
||||
| Qwen3.7 Plus | Niewykorzystywane | 0 dni |
|
||||
| Qwen3.6 Plus | Niewykorzystywane | 0 dni |
|
||||
|
||||
@@ -70,7 +70,6 @@ A lista atual de modelos inclui:
|
||||
- **MiMo-V2.5-Pro**
|
||||
- **MiniMax M3**
|
||||
- **MiniMax M2.7**
|
||||
- **Qwen3.8 Max**
|
||||
- **Qwen3.7 Max**
|
||||
- **Qwen3.7 Plus**
|
||||
- **Qwen3.6 Plus**
|
||||
@@ -107,8 +106,7 @@ A tabela abaixo fornece uma contagem estimada de requisições com base nos padr
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
|
||||
| Qwen3.8 Max | 160 | 400 | 810 |
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
|
||||
@@ -126,7 +124,6 @@ As estimativas se baseiam nos padrões de requisições observados:
|
||||
- DeepSeek V4 Flash — 790 tokens de entrada, 68.000 em cache, 280 tokens de saída por requisição
|
||||
- MiniMax M3 — 510 tokens de entrada, 56.000 em cache, 190 tokens de saída por requisição
|
||||
- MiniMax M2.7 — 300 tokens de entrada, 55.000 em cache, 125 tokens de saída por requisição
|
||||
- Qwen3.8 Max — 420 tokens de entrada, 66.000 em cache, 200 tokens de saída por requisição
|
||||
- Qwen3.7 Max — 420 tokens de entrada, 66.000 em cache, 200 tokens de saída por requisição
|
||||
- Qwen3.7 Plus — 500 tokens de entrada, 57.000 em cache, 190 tokens de saída por requisição
|
||||
- Qwen3.6 Plus — 500 tokens de entrada, 57.000 em cache, 190 tokens de saída por requisição
|
||||
@@ -151,7 +148,6 @@ As estimativas também se baseiam nos seguintes preços por 1M tokens e no uso m
|
||||
| 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 |
|
||||
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
@@ -211,7 +207,6 @@ Você também pode acessar os modelos do Go através dos seguintes endpoints de
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -246,7 +241,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| Kimi K2.6 | 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 |
|
||||
| Qwen3.7 Max | Não usado | 0 dias |
|
||||
| Qwen3.7 Plus | Não usado | 0 dias |
|
||||
| Qwen3.6 Plus | Não usado | 0 dias |
|
||||
|
||||
@@ -70,7 +70,6 @@ OpenCode Go работает так же, как и любой другой пр
|
||||
- **MiMo-V2.5-Pro**
|
||||
- **MiniMax M3**
|
||||
- **MiniMax M2.7**
|
||||
- **Qwen3.8 Max**
|
||||
- **Qwen3.7 Max**
|
||||
- **Qwen3.7 Plus**
|
||||
- **Qwen3.6 Plus**
|
||||
@@ -107,8 +106,7 @@ OpenCode Go включает следующие лимиты:
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
|
||||
| Qwen3.8 Max | 160 | 400 | 810 |
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
|
||||
@@ -126,7 +124,6 @@ OpenCode Go включает следующие лимиты:
|
||||
- DeepSeek V4 Flash — 790 входных, 68,000 кешированных, 280 выходных токенов на запрос
|
||||
- MiniMax M3 — 510 входных, 56,000 кешированных, 190 выходных токенов на запрос
|
||||
- MiniMax M2.7 — 300 входных, 55,000 кешированных, 125 выходных токенов на запрос
|
||||
- Qwen3.8 Max — 420 входных, 66,000 кешированных, 200 выходных токенов на запрос
|
||||
- Qwen3.7 Max — 420 входных, 66,000 кешированных, 200 выходных токенов на запрос
|
||||
- Qwen3.7 Plus — 500 входных, 57,000 кешированных, 190 выходных токенов на запрос
|
||||
- Qwen3.6 Plus — 500 входных, 57,000 кешированных, 190 выходных токенов на запрос
|
||||
@@ -151,7 +148,6 @@ OpenCode Go включает следующие лимиты:
|
||||
| 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 |
|
||||
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
@@ -211,7 +207,6 @@ OpenCode Go включает следующие лимиты:
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -246,7 +241,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| Kimi K2.6 | 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 |
|
||||
| Qwen3.7 Max | Не используется | 0 дней |
|
||||
| Qwen3.7 Plus | Не используется | 0 дней |
|
||||
| Qwen3.6 Plus | Не используется | 0 дней |
|
||||
|
||||
@@ -60,7 +60,6 @@ OpenCode Go ทำงานเหมือนกับผู้ให้บร
|
||||
- **MiMo-V2.5-Pro**
|
||||
- **MiniMax M3**
|
||||
- **MiniMax M2.7**
|
||||
- **Qwen3.8 Max**
|
||||
- **Qwen3.7 Max**
|
||||
- **Qwen3.7 Plus**
|
||||
- **Qwen3.6 Plus**
|
||||
@@ -97,8 +96,7 @@ OpenCode Go มีขีดจำกัดดังต่อไปนี้:
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
|
||||
| Qwen3.8 Max | 160 | 400 | 810 |
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
|
||||
@@ -116,7 +114,6 @@ OpenCode Go มีขีดจำกัดดังต่อไปนี้:
|
||||
- DeepSeek V4 Flash — 790 input, 68,000 cached, 280 output tokens ต่อ request
|
||||
- MiniMax M3 — 510 input, 56,000 cached, 190 output tokens ต่อ request
|
||||
- MiniMax M2.7 — 300 input, 55,000 cached, 125 output tokens ต่อ request
|
||||
- Qwen3.8 Max — 420 input, 66,000 cached, 200 output tokens ต่อ request
|
||||
- Qwen3.7 Max — 420 input, 66,000 cached, 200 output tokens ต่อ request
|
||||
- Qwen3.7 Plus — 500 input, 57,000 cached, 190 output tokens ต่อ request
|
||||
- Qwen3.6 Plus — 500 input, 57,000 cached, 190 output tokens ต่อ request
|
||||
@@ -141,7 +138,6 @@ OpenCode Go มีขีดจำกัดดังต่อไปนี้:
|
||||
| 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 |
|
||||
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
@@ -199,7 +195,6 @@ OpenCode Go มีขีดจำกัดดังต่อไปนี้:
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -232,7 +227,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| Kimi K2.6 | ไม่นำไปใช้ | 0 วัน |
|
||||
| MiMo-V2.5-Pro | ไม่นำไปใช้ | 0 วัน |
|
||||
| MiMo-V2.5 | ไม่นำไปใช้ | 0 วัน |
|
||||
| Qwen3.8 Max | ไม่นำไปใช้ | 0 วัน |
|
||||
| Qwen3.7 Max | ไม่นำไปใช้ | 0 วัน |
|
||||
| Qwen3.7 Plus | ไม่นำไปใช้ | 0 วัน |
|
||||
| Qwen3.6 Plus | ไม่นำไปใช้ | 0 วัน |
|
||||
|
||||
@@ -60,7 +60,6 @@ Mevcut model listesi şunları içerir:
|
||||
- **MiMo-V2.5-Pro**
|
||||
- **MiniMax M3**
|
||||
- **MiniMax M2.7**
|
||||
- **Qwen3.8 Max**
|
||||
- **Qwen3.7 Max**
|
||||
- **Qwen3.7 Plus**
|
||||
- **Qwen3.6 Plus**
|
||||
@@ -97,8 +96,7 @@ Aşağıdaki tablo, tipik Go kullanım modellerine dayalı tahmini bir istek say
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
|
||||
| Qwen3.8 Max | 160 | 400 | 810 |
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
|
||||
@@ -116,7 +114,6 @@ Tahminler, gözlemlenen istek modellerine dayanır:
|
||||
- DeepSeek V4 Flash — İstek başına 790 girdi, 68.000 önbelleğe alınmış, 280 çıktı token'ı
|
||||
- MiniMax M3 — İstek başına 510 girdi, 56.000 önbelleğe alınmış, 190 çıktı token'ı
|
||||
- MiniMax M2.7 — İstek başına 300 girdi, 55.000 önbelleğe alınmış, 125 çıktı token'ı
|
||||
- Qwen3.8 Max — İstek başına 420 girdi, 66.000 önbelleğe alınmış, 200 çıktı token'ı
|
||||
- Qwen3.7 Max — İstek başına 420 girdi, 66.000 önbelleğe alınmış, 200 çıktı token'ı
|
||||
- Qwen3.7 Plus — İstek başına 500 girdi, 57.000 önbelleğe alınmış, 190 çıktı token'ı
|
||||
- Qwen3.6 Plus — İstek başına 500 girdi, 57.000 önbelleğe alınmış, 190 çıktı token'ı
|
||||
@@ -141,7 +138,6 @@ Tahminler ayrıca 1M token başına aşağıdaki fiyatlara ve her modelle birlik
|
||||
| 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 |
|
||||
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
@@ -199,7 +195,6 @@ Go modellerine aşağıdaki API uç noktaları aracılığıyla da erişebilirsi
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -232,7 +227,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| Kimi K2.6 | Kullanılmaz | 0 gün |
|
||||
| MiMo-V2.5-Pro | Kullanılmaz | 0 gün |
|
||||
| MiMo-V2.5 | Kullanılmaz | 0 gün |
|
||||
| Qwen3.8 Max | Kullanılmaz | 0 gün |
|
||||
| Qwen3.7 Max | Kullanılmaz | 0 gün |
|
||||
| Qwen3.7 Plus | Kullanılmaz | 0 gün |
|
||||
| Qwen3.6 Plus | Kullanılmaz | 0 gün |
|
||||
|
||||
@@ -60,7 +60,6 @@ OpenCode Go 的工作方式与 OpenCode 中的其他提供商一样。
|
||||
- **MiMo-V2.5-Pro**
|
||||
- **MiniMax M3**
|
||||
- **MiniMax M2.7**
|
||||
- **Qwen3.8 Max**
|
||||
- **Qwen3.7 Max**
|
||||
- **Qwen3.7 Plus**
|
||||
- **Qwen3.6 Plus**
|
||||
@@ -97,8 +96,7 @@ OpenCode Go 包含以下限制：
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
|
||||
| Qwen3.8 Max | 160 | 400 | 810 |
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
|
||||
@@ -118,7 +116,6 @@ OpenCode Go 包含以下限制：
|
||||
- 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
|
||||
- MiniMax M2.7 — 每次请求 300 个输入 token，55,000 个缓存 token，125 个输出 token
|
||||
- Qwen3.8 Max — 每次请求 420 个输入 token，66,000 个缓存 token，200 个输出 token
|
||||
- Qwen3.7 Max — 每次请求 420 个输入 token，66,000 个缓存 token，200 个输出 token
|
||||
- Qwen3.7 Plus — 每次请求 500 个输入 token，57,000 个缓存 token，190 个输出 token
|
||||
- Qwen3.6 Plus — 每次请求 500 个输入 token，57,000 个缓存 token，190 个输出 token
|
||||
@@ -141,7 +138,6 @@ OpenCode Go 包含以下限制：
|
||||
| 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 |
|
||||
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
@@ -199,7 +195,6 @@ OpenCode Go 包含以下限制：
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -232,7 +227,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| Kimi K2.6 | 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 |
|
||||
| Qwen3.7 Max | 不使用 | 0 天 |
|
||||
| Qwen3.7 Plus | 不使用 | 0 天 |
|
||||
| Qwen3.6 Plus | 不使用 | 0 天 |
|
||||
|
||||
@@ -60,7 +60,6 @@ OpenCode Go 的運作方式與 OpenCode 中的任何其他供應商相同。
|
||||
- **MiMo-V2.5-Pro**
|
||||
- **MiniMax M3**
|
||||
- **MiniMax M2.7**
|
||||
- **Qwen3.8 Max**
|
||||
- **Qwen3.7 Max**
|
||||
- **Qwen3.7 Plus**
|
||||
- **Qwen3.6 Plus**
|
||||
@@ -97,8 +96,7 @@ OpenCode Go 包含以下限制：
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
|
||||
| Qwen3.8 Max | 160 | 400 | 810 |
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
|
||||
@@ -116,7 +114,6 @@ OpenCode Go 包含以下限制：
|
||||
- DeepSeek V4 Flash — 每次請求 790 個輸入 token、68,000 個快取 token、280 個輸出 token
|
||||
- MiniMax M3 — 每次請求 510 個輸入 token、56,000 個快取 token、190 個輸出 token
|
||||
- MiniMax M2.7 — 每次請求 300 個輸入 token、55,000 個快取 token、125 個輸出 token
|
||||
- Qwen3.8 Max — 每次請求 420 個輸入 token、66,000 個快取 token、200 個輸出 token
|
||||
- Qwen3.7 Max — 每次請求 420 個輸入 token、66,000 個快取 token、200 個輸出 token
|
||||
- Qwen3.7 Plus — 每次請求 500 個輸入 token、57,000 個快取 token、190 個輸出 token
|
||||
- Qwen3.6 Plus — 每次請求 500 個輸入 token、57,000 個快取 token、190 個輸出 token
|
||||
@@ -141,7 +138,6 @@ OpenCode Go 包含以下限制：
|
||||
| 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 |
|
||||
| Qwen3.8 Max | $2.00 | $6.00 | $0.25 | $2.50 | $15 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
@@ -199,7 +195,6 @@ OpenCode Go 包含以下限制：
|
||||
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.8 Max | qwen3.8-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -232,7 +227,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| Kimi K2.6 | 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 |
|
||||
| Qwen3.7 Max | 不使用 | 0 天 |
|
||||
| Qwen3.7 Plus | 不使用 | 0 天 |
|
||||
| Qwen3.6 Plus | 不使用 | 0 天 |
|
||||
|
||||
Reference in New Issue
Block a user