chore: update nix node_modules hashes

Co-authored-by: Luke Parker <10430890+Hona@users.noreply.github.com>

.github/workflows/publish.yml

@@ -339,8 +339,7 @@ jobs:
         env:
           OPENCODE_CHANNEL: ${{ (github.ref_name == 'beta' && 'beta') || 'prod' }}
           GH_TOKEN: ${{ steps.committer.outputs.token }}
-          CSC_LINK: ${{ secrets.APPLE_CERTIFICATE }}
+          CSC_KEYCHAIN: build.keychain
-          CSC_KEY_PASSWORD: ${{ secrets.APPLE_CERTIFICATE_PASSWORD }}
           APPLE_API_KEY: ${{ runner.temp }}/apple-api-key.p8
           APPLE_API_KEY_ID: ${{ secrets.APPLE_API_KEY }}
           APPLE_API_ISSUER: ${{ secrets.APPLE_API_ISSUER }}

bun.lock

@@ -384,6 +384,7 @@
       "version": "1.18.11",
       "dependencies": {
         "@zip.js/zip.js": "2.7.62",
+        "drizzle-orm": "catalog:",
         "effect": "catalog:",
         "electron-context-menu": "4.1.2",
         "electron-log": "^5",

nix/hashes.json

@@ -1,8 +1,8 @@
 {
   "nodeModules": {
-    "x86_64-linux": "sha256-SiJd6uXrL/MqqFGN/uUcHh0Wzdlafnpx++VZa5gUCoE=",
+    "x86_64-linux": "sha256-a7NyYa9vRUEqDfZNDPXXmFO58RDEgioyuGSl5CPBvxo=",
-    "aarch64-linux": "sha256-pKcT34NYIHVasraRTx0ASTzyuFuIzBTxXg6+KSKvTps=",
+    "aarch64-linux": "sha256-l4OJtSEllHvRhktjcaJYwkXBSaJvsIoyoLusbZfYMcM=",
-    "aarch64-darwin": "sha256-hzrym0KpiyYAv80eT/DjcSIJWYBUq4QDgDf6Wtot7jU=",
+    "aarch64-darwin": "sha256-IIl0BQGs1/HLFh0auiQjiwfSQ2nfHcK2G2BAphYW59c=",
-    "x86_64-darwin": "sha256-Or5dSTdajUwij0XpovXSXjJ0LmRUcpcW5TJ4q4B0k0A="
+    "x86_64-darwin": "sha256-vVeuPyd4ZIRYrHouphTuEb4rkRZLKKTAHe840jNh9rU="
   }
 }

packages/app/e2e/regression/project-picker-recent-search.spec.ts

@@ -0,0 +1,60 @@
+import { expect, test } from "@playwright/test"
+import type { Page } from "@playwright/test"
+import { fixture, pageMessages } from "../smoke/session-timeline.fixture"
+import { mockOpenCodeServer } from "../utils/mock-server"
+import { expectAppVisible } from "../utils/waits"
+
+const NAMES = ["alpha-service", "bravo-web", "charlie-api", "delta-tools", "echo-infra", "foxtrot-docs"]
+const worktrees = NAMES.map((name) => `/opencode-demo/${name}`)
+
+// The sixth project sits outside the five-item recent cap, so it is only reachable if the
+// dialog hands every recent project to the list filter instead of a pre-truncated slice.
+const OUTSIDE_CAP = "foxtrot-docs"
+
+// Dialog rows carry data-directory-path; the sidebar project list does not, so this
+// scopes assertions to the picker instead of matching the sidebar entry of the same name.
+const rows = (page: Page) => page.locator("[data-directory-path]")
+const row = (page: Page, name: string) => page.locator(`[data-directory-path*="${name}"]`)
+
+async function openProjectDialog(page: Page) {
+  await mockOpenCodeServer(page, {
+    sessions: fixture.sessions,
+    provider: fixture.provider,
+    directory: fixture.directory,
+    project: fixture.project,
+    pageMessages,
+    fileList: () => [],
+    findFiles: () => [],
+  })
+  await page.addInitScript((dirs) => {
+    localStorage.setItem(
+      "opencode.global.dat:server",
+      JSON.stringify({
+        projects: { local: dirs.map((worktree: string) => ({ worktree, expanded: false })) },
+        lastProject: {},
+      }),
+    )
+  }, worktrees)
+  await page.goto("/")
+  const add = page.getByRole("button", { name: "Add project" }).first()
+  await expectAppVisible(add)
+  await add.click()
+  await expect(rows(page)).toHaveCount(5)
+  return page.getByRole("textbox").last()
+}
+
+test("searches every recent project, not just the five most recent", async ({ page }) => {
+  const search = await openProjectDialog(page)
+  await expect(row(page, OUTSIDE_CAP)).toHaveCount(0)
+
+  await search.fill("foxtrot")
+
+  await expect(row(page, OUTSIDE_CAP)).toHaveCount(1)
+})
+
+test("still caps the idle recent list at five projects", async ({ page }) => {
+  await openProjectDialog(page)
+
+  await expect(row(page, NAMES[4])).toHaveCount(1)
+  await expect(row(page, OUTSIDE_CAP)).toHaveCount(0)
+})

packages/app/src/components/dialog-select-directory.tsx

@@ -18,6 +18,8 @@ interface DialogSelectDirectoryProps {
   server: ServerConnection.Any
 }
 
+const RECENT_PROJECT_LIMIT = 5
+
 type Row = {
   absolute: string
   search: string
@@ -102,7 +104,6 @@ export function DialogSelectDirectory(props: DialogSelectDirectoryProps) {
     return projects
       .map((project, index) => ({ project, at: byProject.get(project.worktree) ?? 0, index }))
       .sort((a, b) => b.at - a.at || a.index - b.index)
-      .slice(0, 5)
       .map(({ project }) => {
         const row = toRow(project.worktree, home(), "recent")
         const name = project.name || getFilename(project.worktree)
@@ -116,7 +117,10 @@ export function DialogSelectDirectory(props: DialogSelectDirectoryProps) {
   const items = async (value: string) => {
     const results = await directories(value)
     const directoryRows = results.map((absolute) => toRow(absolute, home(), "folders"))
-    return uniqueRows([...recentProjects(), ...directoryRows])
+    // Cap the idle list only. Once a query narrows the results, every project stays searchable.
+    const recent = recentProjects()
+    const visible = value ? recent : recent.slice(0, RECENT_PROJECT_LIMIT)
+    return uniqueRows([...visible, ...directoryRows])
   }
 
   function resolve(absolute: string) {

packages/app/src/components/prompt-input-v2.tsx

@@ -344,7 +344,7 @@ export function usePromptInputV2Controller(props: PromptInputV2ControllerProps):
       if (item?.commentID) comments.remove(item.path, item.commentID)
     },
     openAttachment: (attachment) =>
-      dialog.show(() => <ImagePreview src={attachment.dataUrl} alt={attachment.filename} />),
+      dialog.show(() => <ImagePreview src={attachment.blob.url} alt={attachment.filename} />),
     openContext(key) {
       const item = controller.contextItem(key)
       if (item) openComment(item, props, sync, layout, files, comments)
@@ -377,6 +377,7 @@ export function usePromptInputV2Controller(props: PromptInputV2ControllerProps):
         }),
       readClipboardImage: platform.readClipboardImage,
       getPathForFile: platform.getPathForFile,
+      store: platform.draftStore?.putBlob,
     },
     view: {
       placeholder: designPlaceholder,

packages/app/src/components/prompt-input.tsx

@@ -1489,7 +1489,7 @@ export const PromptInput: Component<PromptInputProps> = (props) => {
         <PromptImageAttachments
           attachments={imageAttachments()}
           onOpen={(attachment) =>
-            dialog.show(() => <ImagePreview src={attachment.dataUrl} alt={attachment.filename} />)
+            dialog.show(() => <ImagePreview src={attachment.blob.url} alt={attachment.filename} />)
           }
           onRemove={removeAttachment}
           removeLabel={language.t("prompt.attachment.remove")}

packages/app/src/components/prompt-input/attachments.ts

@@ -3,28 +3,13 @@ import { makeEventListener } from "@solid-primitives/event-listener"
 import { showToast } from "@/utils/toast"
 import { type ContentPart, type ImageAttachmentPart, type usePrompt } from "@/context/prompt"
 import { useLanguage } from "@/context/language"
+import { usePlatform } from "@/context/platform"
 import { uuid } from "@/utils/uuid"
 import { getCursorPosition } from "./editor-dom"
+import { createBlobReference, type DraftStore } from "@/utils/draft-store"
 import { attachmentMime } from "./files"
 import { normalizePaste, pasteMode } from "./paste"
 
-function dataUrl(file: File, mime: string) {
-  return new Promise<string>((resolve) => {
-    const reader = new FileReader()
-    reader.addEventListener("error", () => resolve(""))
-    reader.addEventListener("load", () => {
-      const value = typeof reader.result === "string" ? reader.result : ""
-      const idx = value.indexOf(",")
-      if (idx === -1) {
-        resolve(value)
-        return
-      }
-      resolve(`data:${mime};base64,${value.slice(idx + 1)}`)
-    })
-    reader.readAsDataURL(file)
-  })
-}
-
 type PromptTarget = Pick<ReturnType<ReturnType<typeof usePrompt>["capture"]>, "current" | "cursor" | "set">
 type AttachmentTarget = { prompt: PromptTarget; cursor: number | undefined }
 
@@ -36,6 +21,7 @@ type PromptAttachmentsCoreInput = {
   warn?: () => void
   readClipboardImage?: () => Promise<File | null>
   getPathForFile?: (file: File) => string
+  draftStore?: DraftStore
 }
 
 export type PromptAttachmentsInput = {
@@ -65,16 +51,13 @@ export function createPromptAttachmentsCore(input: PromptAttachmentsCoreInput) {
       return false
     }
 
-    const url = await dataUrl(file, mime)
-    if (!url) return false
-
     const attachment: ImageAttachmentPart = {
       type: "image",
       id: uuid(),
       filename: file.name,
       sourcePath: input.getPathForFile?.(file) || undefined,
       mime,
-      dataUrl: url,
+      blob: input.draftStore ? await input.draftStore.putBlob(file) : await createBlobReference(file),
     }
     target.prompt.set([...target.prompt.current(), attachment], target.cursor)
     return true
@@ -166,8 +149,10 @@ export function createPromptAttachmentsCore(input: PromptAttachmentsCoreInput) {
 
 export function createPromptAttachments(input: PromptAttachmentsInput) {
   const language = useLanguage()
+  const platform = usePlatform()
   const attachments = createPromptAttachmentsCore({
     ...input,
+    draftStore: platform.draftStore,
     capture: input.prompt.capture,
     warn: () => {
       showToast({

packages/app/src/components/prompt-input/build-request-parts.ts

@@ -22,7 +22,7 @@ type ContextFile = {
 type BuildRequestPartsInput = {
   prompt: Prompt
   context: ContextFile[]
-  images: ImageAttachmentPart[]
+  images: (Omit<ImageAttachmentPart, "blob"> & { dataUrl: string })[]
   text: string
   messageID: string
   sessionID: string

packages/app/src/components/prompt-input/history-store.ts

@@ -1,7 +1,13 @@
 import { createStore, type SetStoreFunction, type Store } from "solid-js/store"
 import type { Prompt } from "@/context/prompt"
 import { Persist, persisted } from "@/utils/persist"
-import { prependHistoryEntry, type PromptHistoryComment, type PromptHistoryStoredEntry } from "./history"
+import {
+  clonePromptHistoryComments,
+  clonePromptParts,
+  prependHistoryEntry,
+  type PromptHistoryComment,
+  type PromptHistoryStoredEntry,
+} from "./history"
 
 export type PromptInputHistory = {
   entries: (mode: "normal" | "shell") => PromptHistoryStoredEntry[]
@@ -35,13 +41,23 @@ export function createPromptInputHistory(): PromptInputHistory {
 }
 
 export function createPersistedPromptInputHistory() {
-  const [normal, setNormal] = persisted(
+  const [normal, setNormal, normalInit] = persisted(
-    Persist.global("prompt-history", ["prompt-history.v1"]),
+    Persist.prompt(Persist.global("prompt-history", ["prompt-history.v1"])),
     createStore<PromptHistoryState>({ entries: [] }),
   )
-  const [shell, setShell] = persisted(
+  const [shell, setShell, shellInit] = persisted(
-    Persist.global("prompt-history-shell", ["prompt-history-shell.v1"]),
+    Persist.prompt(Persist.global("prompt-history-shell", ["prompt-history-shell.v1"])),
     createStore<PromptHistoryState>({ entries: [] }),
   )
-  return createPromptInputHistoryStore(normal, setNormal, shell, setShell)
+  const history = createPromptInputHistoryStore(normal, setNormal, shell, setShell)
+  return {
+    ...history,
+    add(prompt: Prompt, mode: "normal" | "shell", comments: PromptHistoryComment[]) {
+      const ready = mode === "shell" ? shellInit : normalInit
+      if (!(ready instanceof Promise)) return history.add(prompt, mode, comments)
+      const saved = clonePromptParts(prompt)
+      const metadata = clonePromptHistoryComments(comments)
+      void ready.then(() => history.add(saved, mode, metadata))
+    },
+  }
 }

packages/app/src/components/prompt-input/history.test.ts

@@ -112,7 +112,7 @@ describe("prompt-input history", () => {
         end: 12,
         selection: { startLine: 1, startChar: 1, endLine: 2, endChar: 1 },
       },
-      { type: "image", id: "1", filename: "img.png", mime: "image/png", dataUrl: "data:image/png;base64,abc" },
+      { type: "image", id: "1", filename: "img.png", mime: "image/png", blob: { id: "blob", url: "blob:test" } },
     ]
     const copy = clonePromptParts(original)
     expect(copy).not.toBe(original)

packages/app/src/components/prompt-input/image-attachments.tsx

@@ -100,7 +100,7 @@ export const PromptImageAttachments: Component<PromptImageAttachmentsProps> = (p
                   }
                 >
                   <img
-                    src={attachment.dataUrl}
+                    src={attachment.blob.url}
                     alt={attachment.filename}
                     class={props.newLayoutDesigns ? imageClassV2 : imageClass}
                     onClick={() => props.onOpen(attachment)}

packages/app/src/components/prompt-input/submit.ts

@@ -22,6 +22,7 @@ import { ScopedKey } from "@/utils/server-scope"
 import { createPromptSubmissionState } from "./submission-state"
 import { normalizeSessionInfo } from "@/utils/session"
 import { Event } from "@opencode-ai/schema/event"
+import { blobDataUrl } from "@/utils/draft-store"
 
 type PendingPrompt = {
   abort: AbortController
@@ -95,10 +96,12 @@ export async function sendFollowupDraft(input: FollowupSendInput) {
           providerID: input.draft.model.providerID,
           variant: input.draft.variant,
         },
-        files: images.map((attachment) => ({
+        files: await Promise.all(
-          uri: attachment.dataUrl,
+          images.map(async (attachment) => ({
-          name: attachment.filename,
+            uri: await blobDataUrl(attachment.blob, attachment.mime),
-        })),
+            name: attachment.filename,
+          })),
+        ),
       })
       return true
     } catch (err) {
@@ -108,10 +111,16 @@ export async function sendFollowupDraft(input: FollowupSendInput) {
   }
 
   const messageID = input.messageID ?? Identifier.ascending("message")
+  const encodedImages = await Promise.all(
+    images.map(async (attachment) => ({
+      ...attachment,
+      dataUrl: await blobDataUrl(attachment.blob, attachment.mime),
+    })),
+  )
   const { requestParts, optimisticParts } = buildRequestParts({
     prompt: input.draft.prompt,
     context: input.draft.context,
-    images,
+    images: encodedImages,
     text,
     sessionID: input.draft.sessionID,
     messageID,
@@ -516,10 +525,12 @@ export function createPromptSubmit(input: PromptSubmitInput) {
             arguments: args.join(" "),
             agent,
             model: { id: model.modelID, providerID: model.providerID, variant },
-            files: images.map((attachment) => ({
+            files: await Promise.all(
-              uri: attachment.dataUrl,
+              images.map(async (attachment) => ({
-              name: attachment.filename,
+                uri: await blobDataUrl(attachment.blob, attachment.mime),
-            })),
+                name: attachment.filename,
+              })),
+            ),
           })
           .catch((err) => {
             serverSync().session.set("session_status", session.id, { type: "idle" })

packages/app/src/context/global-sync/bootstrap.test.ts

@@ -8,6 +8,7 @@ import {
   bootstrapDirectory,
   loadAgentsQuery,
   loadCommands,
+  loadGlobalConfigQuery,
   loadPathQuery,
   loadProjectsQuery,
   loadProvidersQuery,
@@ -76,6 +77,7 @@ function directoryState() {
 
 describe("bootstrapDirectory", () => {
   test("uses legacy MCP endpoints while refreshing a v1 directory", async () => {
+    const legacyConfigReads: string[] = []
     const mcpReads: string[] = []
     const [store, setStore] = directoryState()
 
@@ -91,7 +93,12 @@ describe("bootstrapDirectory", () => {
       },
       sdk: {
         app: { agents: async () => ({ data: [{ name: "build", mode: "primary" }] }) },
-        config: { get: async () => ({ data: {} }) },
+        config: {
+          get: async () => {
+            legacyConfigReads.push("directory")
+            return { data: {} }
+          },
+        },
         session: { status: async () => ({ data: {} }) },
         vcs: { get: async () => ({ data: undefined }) },
         command: {
@@ -134,8 +141,88 @@ describe("bootstrapDirectory", () => {
     await new Promise((resolve) => setTimeout(resolve, 80))
 
     expect(store.status).toBe("complete")
+    expect(legacyConfigReads).toEqual(["directory"])
     expect(mcpReads.sort()).toEqual(["command", "resource", "status"])
   })
+
+  test("skips legacy config while refreshing a v2 directory", async () => {
+    const [store, setStore] = directoryState()
+
+    await bootstrapDirectory({
+      directory: "/project",
+      scope: ServerScope.local,
+      mcp: false,
+      global: {
+        config: {} satisfies Config,
+        path: { state: "", config: "", worktree: "/project", directory: "/project", home: "/home" },
+        project: [{ id: "project", worktree: "/project" } as Project],
+        provider,
+      },
+      sdk: {
+        config: {
+          get: async () => {
+            throw new Error("legacy directory config should not be called")
+          },
+        },
+      } as unknown as OpencodeClient,
+      api,
+      store,
+      setStore,
+      vcsCache: { setStore() {} } as unknown as VcsCache,
+      loadSessions() {},
+      translate: (key) => key,
+      queryClient: new QueryClient(),
+      protocol: Promise.resolve("v2"),
+    })
+
+    expect(store.status).toBe("partial")
+
+    await new Promise((resolve) => setTimeout(resolve, 80))
+
+    expect(store.status).toBe("complete")
+  })
+})
+
+describe("config queries", () => {
+  test("skips legacy global config for v2 servers", async () => {
+    const sdk = {
+      global: {
+        config: {
+          get: async () => {
+            throw new Error("legacy global config should not be called")
+          },
+        },
+      },
+    } as unknown as OpencodeClient
+
+    const result = await new QueryClient().fetchQuery(
+      loadGlobalConfigQuery(ServerScope.local, sdk, Promise.resolve("v2")),
+    )
+
+    expect(result).toEqual({})
+  })
+
+  test("loads legacy global config for v1 servers", async () => {
+    const calls: string[] = []
+    const config = { shell: "zsh" } satisfies Config
+    const sdk = {
+      global: {
+        config: {
+          get: async () => {
+            calls.push("global")
+            return { data: config }
+          },
+        },
+      },
+    } as unknown as OpencodeClient
+
+    const result = await new QueryClient().fetchQuery(
+      loadGlobalConfigQuery(ServerScope.local, sdk, Promise.resolve("v1")),
+    )
+
+    expect(result).toEqual(config)
+    expect(calls).toEqual(["global"])
+  })
 })
 
 describe("query keys", () => {

packages/app/src/context/global-sync/bootstrap.ts

@@ -105,10 +105,13 @@ function showErrors(input: {
   })
 }
 
-export const loadGlobalConfigQuery = (scope: ServerScope, sdk: OpencodeClient) =>
+export const loadGlobalConfigQuery = (scope: ServerScope, sdk: OpencodeClient, protocol?: Promise<ServerProtocol>) =>
   queryOptions({
     queryKey: [scope, "config"],
-    queryFn: () => retry(() => sdk.global.config.get().then((x) => x.data!)),
+    queryFn: async () => {
+      if ((await protocol) !== "v1") return {}
+      return retry(() => sdk.global.config.get().then((x) => x.data!))
+    },
   })
 
 type ProjectApi = {
@@ -149,7 +152,7 @@ export async function bootstrapGlobal(input: {
   queryClient: QueryClient
 }) {
   const slow = [
-    () => input.queryClient.fetchQuery(loadGlobalConfigQuery(input.scope, input.serverSDK)),
+    () => input.queryClient.fetchQuery(loadGlobalConfigQuery(input.scope, input.serverSDK, input.protocol)),
     () =>
       input.queryClient.fetchQuery(
         loadProvidersQuery(input.scope, null, input.serverAPI, input.serverSDK, input.protocol),
@@ -376,7 +379,10 @@ export async function bootstrapDirectory(input: {
           .ensureQueryData(loadAgentsQuery(input.scope, input.directory, input.api.agent, input.sdk, input.protocol))
           .then((data) => input.setStore("agent", data)),
       () =>
-        retry(() => input.sdk.config.get().then((x) => input.setStore("config", reconcile(x.data!, { merge: false })))),
+        retry(async () => {
+          if ((await input.protocol) !== "v1") return
+          return input.sdk.config.get().then((x) => input.setStore("config", reconcile(x.data!, { merge: false })))
+        }),
       () =>
         retry(() =>
           (async () => {

packages/app/src/context/platform.tsx

@@ -5,6 +5,7 @@ import type { DesktopMenuAction } from "../desktop-menu"
 import { ServerConnection } from "./server"
 import type { WslServersPlatform } from "../wsl/types"
 import type { UpdaterPlatform } from "../updater"
+import type { DraftStore } from "@/utils/draft-store"
 
 type PickerPaths = string | string[] | null
 type OpenDirectoryPickerOptions = { title?: string; multiple?: boolean }
@@ -64,6 +65,9 @@ type PlatformBase = {
   /** Storage mechanism, defaults to localStorage */
   storage?: (name?: string) => SyncStorage | AsyncStorage
 
+  /** Prompt drafts, history, and their blobs. */
+  draftStore?: DraftStore
+
   /** Stable platform window identity for window-scoped persistence */
   windowID?: string
 

packages/app/src/context/prompt-state.ts

@@ -5,6 +5,7 @@ import { createStore, type SetStoreFunction } from "solid-js/store"
 import type { FileSelection } from "@/context/file"
 import { Persist, persisted } from "@/utils/persist"
 import type { ServerScope } from "@/utils/server-scope"
+import type { BlobReference } from "@/utils/draft-store"
 
 interface PartBase {
   content: string
@@ -37,7 +38,7 @@ export interface ImageAttachmentPart {
   filename: string
   sourcePath?: string
   mime: string
-  dataUrl: string
+  blob: BlobReference
 }
 
 export type ContentPart = TextPart | FileAttachmentPart | AgentPart | ImageAttachmentPart
@@ -168,9 +169,9 @@ function createPromptActions(setStore: SetStoreFunction<PromptStore>) {
 }
 
 function promptTarget(serverScope: ServerScope, scope: PromptScope) {
-  if ("draftID" in scope) return Persist.draft(scope.draftID, "prompt")
+  if ("draftID" in scope) return Persist.prompt(Persist.draft(scope.draftID, "prompt"))
   const legacy = `${scope.dir}/prompt${scope.id ? "/" + scope.id : ""}.v2`
-  return Persist.serverScoped(serverScope, scope.dir, scope.id, "prompt", [legacy])
+  return Persist.prompt(Persist.serverScoped(serverScope, scope.dir, scope.id, "prompt", [legacy]))
 }
 
 function promptStore(initial?: InitialPrompt): PromptStore {
@@ -245,7 +246,7 @@ export function createPromptSession(serverScope: ServerScope, scope: PromptScope
 }
 
 export function createDraftPromptSession(draftID: string, initial?: InitialPrompt) {
-  return createPersistedPrompt(Persist.draft(draftID, "prompt"), initial)
+  return createPersistedPrompt(Persist.prompt(Persist.draft(draftID, "prompt")), initial)
 }
 
 export type PromptSession = ReturnType<typeof createPromptSession>

packages/app/src/context/server-sync.tsx

@@ -184,7 +184,7 @@ function makeQueryOptionsApi(
   protocol: Promise<"v1" | "v2">,
 ) {
   return {
-    globalConfig: () => loadGlobalConfigQuery(scope, serverSDK()),
+    globalConfig: () => loadGlobalConfigQuery(scope, serverSDK(), protocol),
     projects: () => loadProjectsQuery(scope, serverAPI.project),
     providers: (directory: PathKey | null) =>
       loadProvidersQuery(scope, directory, serverAPI, directory ? sdkFor(directory) : serverSDK(), protocol),

packages/app/src/context/tabs.tsx

@@ -101,7 +101,10 @@ export const { use: useTabs, provider: TabsProvider } = createSimpleContext({
     }
 
     const removeDraftPersisted = (draftID: string) => {
-      for (const key of draftPersistedKeys()) removePersisted(Persist.draft(draftID, key), platform)
+      for (const key of draftPersistedKeys()) {
+        const target = Persist.draft(draftID, key)
+        removePersisted(key === "prompt" ? Persist.prompt(target) : target, platform)
+      }
     }
 
     const removeInfo = (key: string) => {

packages/app/src/entry.tsx

@@ -4,6 +4,7 @@ import * as Sentry from "@sentry/solid"
 import { render } from "solid-js/web"
 import { AppBaseProviders, AppInterface } from "@/app"
 import { type Platform, PlatformProvider } from "@/context/platform"
+import { createBrowserDraftStore } from "@/utils/draft-store"
 import { dict as en } from "@/i18n/en"
 import { dict as zh } from "@/i18n/zh"
 import { authFromToken } from "@/utils/server"
@@ -116,6 +117,7 @@ const clearAuthToken = () => {
 
 const platform: Platform = {
   platform: "web",
+  draftStore: createBrowserDraftStore(),
   version: pkg.version,
   openExternal,
   restart,

packages/app/src/index.ts

@@ -27,3 +27,4 @@ export {
   type WslServersState,
 } from "./wsl/types"
 export { ServerConnection } from "./context/server"
+export { createDraftStore, type DraftStore } from "./utils/draft-store"

packages/app/src/pages/session/timeline/rows-current.test.ts

@@ -167,4 +167,41 @@ describe("current session timeline rows", () => {
       "thinking:msg_2",
     ])
   })
+
+  test("removes a failed assistant error when the turn continues streaming", () => {
+    const source = [
+      { id: "msg_user", type: "user", text: "recover", time: { created: 1 } },
+      {
+        id: "msg_failed",
+        type: "assistant",
+        agent: "build",
+        model: { id: "model", providerID: "provider" },
+        content: [],
+        error: { type: "ProviderError", message: "temporary failure" },
+        time: { created: 2, completed: 3 },
+      },
+      {
+        id: "msg_recovery",
+        type: "assistant",
+        agent: "build",
+        model: { id: "model", providerID: "provider" },
+        content: [{ type: "text", text: "streaming again" }],
+        time: { created: 4 },
+      },
+    ] satisfies SessionMessageInfo[]
+    const normalized = normalizeSessionMessages("ses_1", source)
+    const messages = new Map(normalized.messages.map((message) => [message.id, message]))
+
+    const result = Timeline.constructSessionMessageRows(
+      source,
+      (messageID) => messages.get(messageID),
+      (messageID) => normalized.parts.get(messageID) ?? [],
+      true,
+      "busy",
+      true,
+      normalized.messages.filter((message) => message.role === "user"),
+    )
+
+    expect(result.rows.map((row) => row._tag)).toEqual(["UserMessage", "AssistantPart"])
+  })
 })

packages/app/src/pages/session/timeline/rows.ts

@@ -116,7 +116,8 @@ export namespace Timeline {
     const compaction = userParts.some((p) => p.type === "compaction")
     const interruptedMessageIndex = assistantMessages.findIndex((m) => m.error?.name === "MessageAbortedError")
     const interrupted = interruptedMessageIndex !== -1
-    const error = assistantMessages.find((m) => m.error && m.error.name !== "MessageAbortedError")?.error
+    const latestError = assistantMessages.at(-1)?.error
+    const error = latestError?.name === "MessageAbortedError" ? undefined : latestError
 
     const assistantPartRefs = assistantMessages.flatMap((message, messageIndex) =>
       getMessageParts(message.id)

packages/app/src/utils/draft-store.ts

@@ -0,0 +1,171 @@
+import type { AsyncStorage } from "@solid-primitives/storage"
+
+export type BlobReference = { id: string; url: string }
+
+type Driver = {
+  get(key: string): Promise<string | null>
+  set(key: string, value: string): Promise<void>
+  remove(key: string): Promise<void>
+  putBlob(blob: Blob): Promise<string>
+  getBlob(id: string): Promise<Blob | null>
+}
+
+export type DraftStore = AsyncStorage & { putBlob(blob: Blob): Promise<BlobReference> }
+const urls = new Map<string, string>()
+
+function blobUrl(id: string, blob: Blob) {
+  const existing = urls.get(id)
+  if (existing) return existing
+  const url = URL.createObjectURL(blob)
+  urls.set(id, url)
+  return url
+}
+
+async function blobID(blob: Blob) {
+  const id = Array.from(new Uint8Array(await crypto.subtle.digest("SHA-256", await blob.arrayBuffer())))
+    .map((byte) => byte.toString(16).padStart(2, "0"))
+    .join("")
+  return id
+}
+
+export async function createBlobReference(blob: Blob): Promise<BlobReference> {
+  const id = await blobID(blob)
+  return { id, url: blobUrl(id, blob) }
+}
+
+export function createDraftStore(driver: Driver): DraftStore {
+  const versions = new Map<string, number>()
+  const putBlob = async (blob: Blob) => {
+    const id = await driver.putBlob(blob)
+    return { id, url: blobUrl(id, blob) }
+  }
+  const encode = async (value: unknown): Promise<unknown> => {
+    if (Array.isArray(value)) return Promise.all(value.map(encode))
+    if (!value || typeof value !== "object") return value
+    const item = value as Record<string, unknown>
+    if (item.type === "image" && typeof item.dataUrl === "string") {
+      const blob = await fetch(item.dataUrl).then((response) => response.blob())
+      const { dataUrl: _, ...rest } = item
+      return { ...rest, blob: { id: await driver.putBlob(blob) } }
+    }
+    if ("blob" in item && item.blob && typeof item.blob === "object") {
+      const blob = item.blob as Record<string, unknown>
+      if (typeof blob.id === "string" && blob.id.startsWith("data:")) {
+        const data = await fetch(blob.id).then((response) => response.blob())
+        return { ...item, blob: { id: await driver.putBlob(data) } }
+      }
+      return { ...item, blob: { id: blob.id } }
+    }
+    return Object.fromEntries(
+      await Promise.all(Object.entries(item).map(async ([key, entry]) => [key, await encode(entry)])),
+    )
+  }
+  const decode = async (value: unknown): Promise<unknown> => {
+    if (Array.isArray(value)) return Promise.all(value.map(decode))
+    if (!value || typeof value !== "object") return value
+    const item = value as Record<string, unknown>
+    if (item.blob && typeof item.blob === "object") {
+      const ref = item.blob as Record<string, unknown>
+      if (typeof ref.id === "string") {
+        const blob = await driver.getBlob(ref.id)
+        if (blob) return { ...item, blob: { id: ref.id, url: blobUrl(ref.id, blob) } }
+      }
+    }
+    return Object.fromEntries(
+      await Promise.all(Object.entries(item).map(async ([key, entry]) => [key, await decode(entry)])),
+    )
+  }
+  return {
+    getItem: async (key) => {
+      const value = await driver.get(key)
+      return value === null ? null : JSON.stringify(await decode(JSON.parse(value)))
+    },
+    setItem: async (key, value) => {
+      const version = (versions.get(key) ?? 0) + 1
+      versions.set(key, version)
+      const encoded = JSON.stringify(await encode(JSON.parse(value)))
+      if (versions.get(key) === version) await driver.set(key, encoded)
+    },
+    removeItem: async (key) => {
+      versions.set(key, (versions.get(key) ?? 0) + 1)
+      await driver.remove(key)
+    },
+    putBlob,
+  }
+}
+
+export function createBrowserDraftStore(): DraftStore {
+  const request = indexedDB.open("opencode-drafts", 1)
+  request.addEventListener("upgradeneeded", () => {
+    request.result.createObjectStore("documents")
+    request.result.createObjectStore("blobs")
+  })
+  const db = new Promise<IDBDatabase>((resolve, reject) => {
+    request.addEventListener("success", () => {
+      const database = request.result
+      const transaction = database.transaction(["documents", "blobs"], "readwrite")
+      const documents = transaction.objectStore("documents").getAll()
+      documents.addEventListener("success", () => {
+        const used = new Set<string>()
+        JSON.parse(`[${documents.result.join(",")}]`, (_key, item) => {
+          if (item?.blob && typeof item.blob.id === "string") used.add(item.blob.id)
+          return item
+        })
+        const blobs = transaction.objectStore("blobs").openKeyCursor()
+        blobs.addEventListener("success", () => {
+          const cursor = blobs.result
+          if (!cursor) return
+          if (!used.has(String(cursor.key))) cursor.delete()
+          cursor.continue()
+        })
+      })
+      transaction.addEventListener("complete", () => resolve(database))
+      transaction.addEventListener("abort", () => resolve(database))
+    })
+    request.addEventListener("error", () => reject(request.error))
+  })
+  const get = async (store: string, key: string) => {
+    const result = (await db).transaction(store).objectStore(store).get(key)
+    return new Promise<unknown>((resolve, reject) => {
+      result.addEventListener("success", () => resolve(result.result))
+      result.addEventListener("error", () => reject(result.error))
+    })
+  }
+  const write = async (store: string, key: string, value?: unknown) => {
+    const transaction = (await db).transaction(store, "readwrite")
+    if (value === undefined) transaction.objectStore(store).delete(key)
+    else transaction.objectStore(store).put(value, key)
+    return new Promise<void>((resolve, reject) => {
+      transaction.addEventListener("complete", () => resolve())
+      transaction.addEventListener("error", () => reject(transaction.error))
+    })
+  }
+  return createDraftStore({
+    get: async (key) => ((await get("documents", key)) as string | undefined) ?? null,
+    set: (key, value) => write("documents", key, value),
+    remove: (key) => write("documents", key),
+    putBlob: async (blob) => {
+      const id = await blobID(blob)
+      await write("blobs", id, blob)
+      return id
+    },
+    getBlob: async (id) => ((await get("blobs", id)) as Blob | undefined) ?? null,
+  })
+}
+
+export async function blobDataUrl(blob: BlobReference, mime: string) {
+  const data = await fetch(blob.url).then((response) => response.blob())
+  return new Promise<string>((resolve, reject) => {
+    const reader = new FileReader()
+    reader.addEventListener("error", () => reject(reader.error))
+    reader.addEventListener("load", () => {
+      const value = typeof reader.result === "string" ? reader.result : ""
+      resolve(`data:${mime};base64,${value.slice(value.indexOf(",") + 1)}`)
+    })
+    reader.readAsDataURL(data)
+  })
+}
+
+export function createLegacyBlobReference(dataUrl: string): BlobReference {
+  return { id: dataUrl, url: dataUrl }
+}

packages/app/src/utils/persist.ts

@@ -15,6 +15,7 @@ type PersistedWithReady<T> = [
 ]
 
 type PersistTarget = {
+  draft?: boolean
   storage?: string
   scope?: "window"
   legacyStorageNames?: string[]
@@ -295,6 +296,14 @@ async function removeAsync(storage: AsyncStorage, key: string) {
   } catch {}
 }
 
+function toAsyncStorage(storage: SyncStorage | AsyncStorage): AsyncStorage {
+  return {
+    getItem: async (key) => storage.getItem(key),
+    setItem: async (key, value) => storage.setItem(key, value),
+    removeItem: async (key) => storage.removeItem(key),
+  }
+}
+
 async function migrateLegacyAsync(input: {
   current: AsyncStorage
   legacyStore?: AsyncStorage
@@ -513,6 +522,9 @@ export const Persist = {
     if (session) return Persist.serverSession(scope, dir, session, key, legacy)
     return Persist.serverWorkspace(scope, dir, key, legacy)
   },
+  prompt(target: PersistTarget): PersistTarget {
+    return { ...target, draft: true }
+  },
 }
 
 function resolveTarget(target: PersistTarget, platform: Platform): PersistTarget {
@@ -526,9 +538,12 @@ function resolveTarget(target: PersistTarget, platform: Platform): PersistTarget
 }
 
 export function removePersisted(
-  target: { storage?: string; legacyStorageNames?: string[]; key: string },
+  target: { draft?: boolean; storage?: string; legacyStorageNames?: string[]; key: string },
   platform?: Platform,
 ) {
+  if (target.draft && platform?.draftStore) {
+    void platform.draftStore.removeItem(`${target.storage ?? "default"}:${target.key}`)
+  }
   const isDesktop = platform?.platform === "desktop" && !!platform.storage
 
   if (isDesktop) {
@@ -561,8 +576,17 @@ export function persisted<T>(
   const legacy = config.legacy ?? []
 
   const isDesktop = platform.platform === "desktop" && !!platform.storage
+  const draft = config.draft ? platform.draftStore : undefined
 
   const currentStorage = (() => {
+    if (draft) {
+      const prefix = `${config.storage ?? "default"}:`
+      return {
+        getItem: (key: string) => draft.getItem(prefix + key),
+        setItem: (key: string, value: string) => draft.setItem(prefix + key, value),
+        removeItem: (key: string) => draft.removeItem(prefix + key),
+      } satisfies AsyncStorage
+    }
     if (isDesktop) return platform.storage?.(config.storage)
     if (!config.storage) return localStorageDirect()
     return localStorageWithPrefix(config.storage)
@@ -577,7 +601,7 @@ export function persisted<T>(
   const legacyStorageNames = config.legacyStorageNames ?? []
 
   const storage = (() => {
-    if (!isDesktop) {
+    if (!isDesktop && !draft) {
       const current = currentStorage as SyncStorage
       const legacyStore = legacyStorage as SyncStorage
       const legacyStores = legacyStorageNames.map(localStorageWithPrefix)
@@ -609,15 +633,26 @@ export function persisted<T>(
 
     const current = currentStorage as AsyncStorage
     const legacyStore = legacyStorage as AsyncStorage | undefined
-    const legacyStores = legacyStorageNames
+    const oldCurrent = draft
-      .map((name) => platform.storage?.(name) as AsyncStorage | undefined)
+      ? isDesktop
+        ? platform.storage?.(config.storage)
+        : config.storage
+          ? localStorageWithPrefix(config.storage)
+          : localStorageDirect()
+      : undefined
+    const legacyStores = [
+      oldCurrent,
+      ...legacyStorageNames.map((name) => (isDesktop ? platform.storage?.(name) : localStorageWithPrefix(name))),
+    ]
       .filter((x) => !!x)
+      .map(toAsyncStorage)
+    let draftLatest: string | undefined
 
     const api: AsyncStorage = {
       getItem: async (key) => {
         const value = await readCurrentAsync({ storage: current, key, defaults, migrate: config.migrate })
         if (value !== undefined) return value
-        return migrateLegacyAsync({
+        const migrated = await migrateLegacyAsync({
           current,
           legacyStore,
           stores: legacyStores,
@@ -626,8 +661,15 @@ export function persisted<T>(
           defaults,
           migrate: config.migrate,
         })
+        if (draftLatest === undefined) {
+          if (draft && migrated !== null) return (await current.getItem(key)) ?? migrated
+          return migrated
+        }
+        await current.setItem(key, draftLatest)
+        return draftLatest
       },
       setItem: async (key, value) => {
+        if (draft) draftLatest = value
         await current.setItem(key, value)
       },
       removeItem: async (key) => {

packages/app/src/utils/prompt.test.ts

@@ -37,8 +37,18 @@ describe("extractPromptFromParts", () => {
     expect(result).toHaveLength(3)
     expect(result[0]).toMatchObject({ type: "text", content: "check these" })
     expect(result.slice(1)).toMatchObject([
-      { type: "image", filename: "a.png", mime: "image/png", dataUrl: "data:image/png;base64,AAA" },
+      {
-      { type: "image", filename: "b.pdf", mime: "application/pdf", dataUrl: "data:application/pdf;base64,BBB" },
+        type: "image",
+        filename: "a.png",
+        mime: "image/png",
+        blob: expect.objectContaining({ id: expect.any(String) }),
+      },
+      {
+        type: "image",
+        filename: "b.pdf",
+        mime: "application/pdf",
+        blob: expect.objectContaining({ id: expect.any(String) }),
+      },
     ])
   })
 })

packages/app/src/utils/prompt.ts

@@ -1,5 +1,6 @@
 import type { AgentPart as MessageAgentPart, FilePart, Part, TextPart } from "@opencode-ai/sdk/v2"
 import type { AgentPart, FileAttachmentPart, ImageAttachmentPart, Prompt } from "@/context/prompt"
+import { createLegacyBlobReference } from "@/utils/draft-store"
 
 type Inline =
   | {
@@ -107,7 +108,7 @@ export function extractPromptFromParts(parts: Part[], opts?: { directory?: strin
           id: filePart.id,
           filename: filePart.filename ?? attachmentName,
           mime: filePart.mime,
-          dataUrl: filePart.url,
+          blob: createLegacyBlobReference(filePart.url),
         })
       }
     }

packages/app/test-browser/prompt-persistence.test.ts

@@ -2,6 +2,7 @@ import { beforeAll, describe, expect, mock, test } from "bun:test"
 import type { AsyncStorage } from "@solid-primitives/storage"
 import { createEffect, createRoot } from "solid-js"
 import { ServerScope } from "@/utils/server-scope"
+import { createDraftStore } from "@/utils/draft-store"
 
 let Prompt: typeof import("@/context/prompt")
 let read: ((value: string | null) => void) | undefined
@@ -30,7 +31,7 @@ beforeAll(async () => {
     }),
   }))
   mock.module("@/context/platform", () => ({
-    usePlatform: () => ({ platform: "desktop", storage: () => storage }),
+    usePlatform: () => ({ platform: "desktop", storage: () => storage, draftStore: storage }),
   }))
 
   Prompt = await import("@/context/prompt")
@@ -69,3 +70,50 @@ describe("prompt persistence", () => {
     })
   })
 })
+
+test("moves legacy image data URLs into blobs and hydrates object URLs", async () => {
+  const documents = new Map<string, string>()
+  const blobs = new Map<string, Blob>()
+  const store = createDraftStore({
+    get: async (key) => documents.get(key) ?? null,
+    set: async (key, value) => void documents.set(key, value),
+    remove: async (key) => void documents.delete(key),
+    putBlob: async (blob) => {
+      const id = String(blob.size)
+      blobs.set(id, blob)
+      return id
+    },
+    getBlob: async (id) => blobs.get(id) ?? null,
+  })
+
+  await store.setItem("prompt", JSON.stringify({ prompt: [{ type: "image", dataUrl: "data:image/png;base64,YQ==" }] }))
+  expect(documents.get("prompt")).not.toContain("dataUrl")
+  const value = JSON.parse((await store.getItem("prompt"))!)
+  expect(value.prompt[0].blob.id).toBe("1")
+  expect(value.prompt[0].blob.url).toStartWith("blob:")
+})
+
+test("does not let delayed blob migration overwrite a newer draft", async () => {
+  const documents = new Map<string, string>()
+  const migration = Promise.withResolvers<void>()
+  const store = createDraftStore({
+    get: async () => null,
+    set: async (key, value) => void documents.set(key, value),
+    remove: async () => undefined,
+    putBlob: async () => {
+      await migration.promise
+      return "blob"
+    },
+    getBlob: async () => null,
+  })
+  const older = store.setItem(
+    "prompt",
+    JSON.stringify({ prompt: [{ type: "image", dataUrl: "data:image/png;base64,YQ==" }] }),
+  )
+  await Bun.sleep(0)
+  await store.setItem("prompt", JSON.stringify({ prompt: [{ type: "text", content: "latest" }] }))
+  migration.resolve()
+  await older
+
+  expect(documents.get("prompt")).toContain("latest")
+})

packages/console/app/src/routes/go/index.tsx

@@ -32,6 +32,7 @@ const models = [
   { name: "Kimi K2.6", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
   { name: "MiMo-V2.5-Pro", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
   { name: "MiMo-V2.5", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
+  { name: "Qwen3.8 Max", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
   { name: "Qwen3.7 Max", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
   { name: "Qwen3.7 Plus", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
   { name: "Qwen3.6 Plus", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
@@ -67,6 +68,7 @@ function LimitsGraph(props: { href: string }) {
   const graph = [
     { id: "grok-4.5", name: "Grok 4.5", req: 120, d: "50ms" },
     { id: "kimi-k3", name: "Kimi K3", req: 110, d: "75ms" },
+    { id: "qwen3.8-max", name: "Qwen3.8 Max", req: 160, d: "90ms" },
     { id: "glm-5.2", name: "GLM-5.2", req: 880, d: "100ms" },
     { id: "minimax-m3", name: "MiniMax M3", req: 3200, d: "210ms" },
     { id: "deepseek-v4-pro", name: "DeepSeek V4 Pro", req: 3450, d: "270ms" },

packages/console/app/src/routes/workspace/[id]/go/lite-section.tsx

@@ -313,6 +313,7 @@ export function LiteSection(props: { lite: LiteSubscription | undefined }) {
             <li>Kimi K2.6</li>
             <li>MiniMax M3</li>
             <li>MiniMax M2.7</li>
+            <li>Qwen3.8 Max</li>
             <li>Qwen3.7 Max</li>
             <li>Qwen3.7 Plus</li>
             <li>Qwen3.6 Plus</li>

packages/console/core/migrations/20260803084635_married_misty_knight/migration.sql

@@ -0,0 +1,2 @@
+CREATE UNIQUE INDEX `global_lite_subscription_id` ON `billing` (`lite_subscription_id`);--> statement-breakpoint
+CREATE INDEX `referral_id` ON `referral_reward` (`referral_id`);

packages/console/core/src/referral.ts

@@ -59,30 +59,7 @@ export namespace Referral {
     const accountID = Actor.account()
     const code = await ensureCode(workspaceID)
     const rows = await Database.use(async (tx) => {
-      const [rewards, invites, inviteeReferral, inviteeRewards] = await Promise.all([
+      const [invites, inviteeReferral] = await Promise.all([
-        tx
-          .select({
-            referralID: ReferralRewardTable.referralID,
-            workspaceID: ReferralRewardTable.workspaceID,
-            referralWorkspaceID: ReferralTable.workspaceID,
-            inviteeEmail: AuthTable.subject,
-            amount: ReferralRewardTable.amount,
-            timeCreated: ReferralRewardTable.timeCreated,
-            timeApplied: ReferralRewardTable.timeApplied,
-          })
-          .from(ReferralRewardTable)
-          .innerJoin(ReferralTable, eq(ReferralTable.id, ReferralRewardTable.referralID))
-          .innerJoin(
-            AuthTable,
-            and(eq(AuthTable.accountID, ReferralTable.inviteeAccountID), eq(AuthTable.provider, "email")),
-          )
-          .where(
-            and(
-              eq(ReferralRewardTable.workspaceID, workspaceID),
-              isNull(ReferralRewardTable.timeDeleted),
-              isNull(ReferralTable.timeDeleted),
-            ),
-          ),
         tx
           .select({ id: ReferralTable.id, inviteeEmail: AuthTable.subject, timeCreated: ReferralTable.timeCreated })
           .from(ReferralTable)
@@ -106,19 +83,20 @@ export namespace Referral {
           .where(and(eq(ReferralTable.inviteeAccountID, accountID), isNull(ReferralTable.timeDeleted)))
           .orderBy(asc(UserTable.timeCreated))
           .then((rows) => rows.find((row) => row.inviterEmail) ?? rows[0]),
-        tx
-          .select({ referralID: ReferralRewardTable.referralID })
-          .from(ReferralRewardTable)
-          .innerJoin(ReferralTable, eq(ReferralTable.id, ReferralRewardTable.referralID))
-          .where(
-            and(
-              eq(ReferralTable.inviteeAccountID, accountID),
-              isNull(ReferralRewardTable.timeDeleted),
-              isNull(ReferralTable.timeDeleted),
-            ),
-          ),
       ])
 
+      // Hide reward history until the referral_id index can be deployed and this lookup restored.
+      const rewards: {
+        referralID: string
+        workspaceID: string
+        referralWorkspaceID: string
+        inviteeEmail: string
+        amount: number
+        timeCreated: Date
+        timeApplied: Date | null
+      }[] = []
+      // Hide pending invitee rewards until the referral_id index can be deployed and this lookup restored.
+      const inviteeRewards = inviteeReferral ? [{ referralID: inviteeReferral.id }] : []
       return { inviteeReferral, inviteeRewards, invites, rewards }
     })
 

packages/console/core/src/schema/billing.sql.ts

@@ -53,6 +53,7 @@ export const BillingTable = mysqlTable(
     ...workspaceIndexes(table),
     uniqueIndex("global_customer_id").on(table.customerID),
     uniqueIndex("global_subscription_id").on(table.subscriptionID),
+    uniqueIndex("global_lite_subscription_id").on(table.liteSubscriptionID),
   ],
 )
 

packages/console/core/src/schema/referral.sql.ts

@@ -1,4 +1,4 @@
-import { bigint, mysqlTable, primaryKey, uniqueIndex, varchar } from "drizzle-orm/mysql-core"
+import { bigint, index, mysqlTable, primaryKey, uniqueIndex, varchar } from "drizzle-orm/mysql-core"
 import { timestamps, ulid, utc, workspaceColumns } from "../drizzle/types"
 import { workspaceIndexes } from "./workspace.sql"
 
@@ -31,5 +31,8 @@ export const ReferralRewardTable = mysqlTable(
     amount: bigint("amount", { mode: "number" }).notNull(),
     timeApplied: utc("time_applied"),
   },
-  (table) => [primaryKey({ columns: [table.workspaceID, table.referralID] })],
+  (table) => [
+    primaryKey({ columns: [table.workspaceID, table.referralID] }),
+    index("referral_id").on(table.referralID),
+  ],
 )

packages/desktop/package.json

@@ -30,7 +30,8 @@
     "electron-log": "^5",
     "electron-store": "11.0.2",
     "electron-updater": "6.8.9",
-    "electron-window-state": "^5.0.3"
+    "electron-window-state": "^5.0.3",
+    "drizzle-orm": "catalog:"
   },
   "devDependencies": {
     "@actions/artifact": "4.0.0",

packages/desktop/src/main/draft-store.test.ts

@@ -0,0 +1,16 @@
+import { expect, test } from "bun:test"
+import { createDesktopDraftStore } from "./draft-store"
+
+test("flushes the latest buffered draft and stores blobs", () => {
+  const store = createDesktopDraftStore(":memory:")
+  store.set("prompt", "first")
+  store.set("prompt", "latest")
+  expect(store.get("prompt")).toBe("latest")
+  store.flush()
+  expect(store.get("prompt")).toBe("latest")
+
+  const bytes = new TextEncoder().encode("image")
+  const id = store.putBlob(bytes)
+  expect(store.getBlob(id)).toEqual(bytes)
+  store.close()
+})

packages/desktop/src/main/draft-store.ts

@@ -0,0 +1,82 @@
+import { createHash } from "node:crypto"
+import { DatabaseSync } from "node:sqlite"
+import { eq } from "drizzle-orm"
+import { drizzle } from "drizzle-orm/node-sqlite"
+import { blob, sqliteTable, text } from "drizzle-orm/sqlite-core"
+
+const documents = sqliteTable("document", {
+  key: text().primaryKey(),
+  value: text().notNull(),
+})
+const blobs = sqliteTable("blob", {
+  id: text().primaryKey(),
+  data: blob({ mode: "buffer" }).notNull(),
+})
+
+export function createDesktopDraftStore(filename: string) {
+  const native = new DatabaseSync(filename)
+  native.exec(
+    "PRAGMA journal_mode=WAL; CREATE TABLE IF NOT EXISTS document (key TEXT PRIMARY KEY, value TEXT NOT NULL); CREATE TABLE IF NOT EXISTS blob (id TEXT PRIMARY KEY, data BLOB NOT NULL);",
+  )
+  const db = drizzle({ client: native })
+  const used = new Set<string>()
+  db.select({ value: documents.value })
+    .from(documents)
+    .all()
+    .forEach(({ value }) =>
+      JSON.parse(value, (_key, item) => {
+        if (item?.blob && typeof item.blob.id === "string") used.add(item.blob.id)
+        return item
+      }),
+    )
+  db.select({ id: blobs.id })
+    .from(blobs)
+    .all()
+    .filter(({ id }) => !used.has(id))
+    .forEach(({ id }) => db.delete(blobs).where(eq(blobs.id, id)).run())
+  const pending = new Map<string, string | null>()
+  let timer: ReturnType<typeof setTimeout> | undefined
+  const flush = () => {
+    if (timer) clearTimeout(timer)
+    timer = undefined
+    const writes = [...pending]
+    pending.clear()
+    db.transaction((tx) => {
+      writes.forEach(([key, value]) => {
+        if (value === null) tx.delete(documents).where(eq(documents.key, key)).run()
+        else
+          tx.insert(documents)
+            .values({ key, value })
+            .onConflictDoUpdate({ target: documents.key, set: { value } })
+            .run()
+      })
+    })
+  }
+  const schedule = () => {
+    if (!timer) timer = setTimeout(flush, 500)
+  }
+  return {
+    get: (key: string) =>
+      pending.has(key)
+        ? (pending.get(key) ?? null)
+        : (db.select({ value: documents.value }).from(documents).where(eq(documents.key, key)).get()?.value ?? null),
+    set(key: string, value: string | null) {
+      pending.set(key, value)
+      schedule()
+    },
+    putBlob(data: Uint8Array) {
+      const id = createHash("sha256").update(data).digest("hex")
+      db.insert(blobs)
+        .values({ id, data: Buffer.from(data) })
+        .onConflictDoNothing()
+        .run()
+      return id
+    },
+    getBlob: (id: string) => db.select({ data: blobs.data }).from(blobs).where(eq(blobs.id, id)).get()?.data ?? null,
+    flush,
+    close() {
+      flush()
+      native.close()
+    },
+  }
+}

packages/desktop/src/main/index.ts

@@ -171,7 +171,7 @@ const main = Effect.gen(function* () {
     setAppQuitting()
     void stopSidecars().finally(() => {
       app.relaunch()
-      app.exit(0)
+      app.quit()
     })
   }
 
@@ -245,7 +245,7 @@ const main = Effect.gen(function* () {
   for (const signal of ["SIGINT", "SIGTERM"] as const) {
     process.on(signal, () => {
       setAppQuitting()
-      void stopSidecars().finally(() => app.exit(0))
+      void stopSidecars().finally(() => app.quit())
     })
   }
 

packages/desktop/src/main/ipc.ts

@@ -1,6 +1,6 @@
 import { execFile } from "node:child_process"
 import { stat } from "node:fs/promises"
-import { basename } from "node:path"
+import { basename, join } from "node:path"
 import { app, BrowserWindow, clipboard, dialog, ipcMain, shell } from "electron"
 import type { IpcMainEvent, IpcMainInvokeEvent } from "electron"
 import type { DesktopMenuAction } from "@opencode-ai/app/desktop-menu"
@@ -21,6 +21,7 @@ import {
 } from "./windows"
 import type { UpdaterController } from "./updater-controller"
 import { createUpdaterSubscriptions } from "./updater-subscriptions"
+import { createDesktopDraftStore } from "./draft-store"
 
 const pickerFilters = (ext?: string[]) => {
   if (!ext || ext.length === 0) return undefined
@@ -51,8 +52,12 @@ type Deps = {
 }
 
 export function registerIpcHandlers(deps: Deps) {
+  const drafts = createDesktopDraftStore(join(app.getPath("userData"), "drafts.sqlite"))
   const updaterSubscriptions = createUpdaterSubscriptions()
   app.once("will-quit", updaterSubscriptions.clear)
+  app.on("before-quit", () => drafts.flush())
+  app.once("will-quit", () => drafts.close())
+  app.on("browser-window-created", (_event, win) => win.on("session-end", () => drafts.flush()))
 
   ipcMain.handle("kill-sidecar", () => deps.killSidecar())
   ipcMain.handle("await-initialization", () => deps.awaitInitialization())
@@ -123,6 +128,14 @@ export function registerIpcHandlers(deps: Deps) {
     const store = getStore(name)
     return Object.keys(store.store).length
   })
+  ipcMain.handle("draft-get", (_event, key: string) => drafts.get(key))
+  ipcMain.handle("draft-set", (_event, key: string, value: string) => drafts.set(key, value))
+  ipcMain.handle("draft-delete", (_event, key: string) => drafts.set(key, null))
+  ipcMain.handle("draft-blob-put", (_event, data: ArrayBuffer) => drafts.putBlob(new Uint8Array(data)))
+  ipcMain.handle("draft-blob-get", (_event, id: string) => {
+    const data = drafts.getBlob(id)
+    return data ? data.buffer.slice(data.byteOffset, data.byteOffset + data.byteLength) : null
+  })
 
   ipcMain.handle(
     "open-directory-picker",

packages/desktop/src/preload/index.ts

@@ -73,6 +73,11 @@ const api: ElectronAPI = {
   storeClear: (name) => ipcRenderer.invoke("store-clear", name),
   storeKeys: (name) => ipcRenderer.invoke("store-keys", name),
   storeLength: (name) => ipcRenderer.invoke("store-length", name),
+  draftGet: (key) => ipcRenderer.invoke("draft-get", key),
+  draftSet: (key, value) => ipcRenderer.invoke("draft-set", key, value),
+  draftDelete: (key) => ipcRenderer.invoke("draft-delete", key),
+  draftBlobPut: (data) => ipcRenderer.invoke("draft-blob-put", data),
+  draftBlobGet: (id) => ipcRenderer.invoke("draft-blob-get", id),
 
   getWindowID: () => ipcRenderer.invoke("get-window-id"),
   onMenuCommand: (cb) => {

packages/desktop/src/preload/types.ts

@@ -63,6 +63,11 @@ export type ElectronAPI = {
   storeClear: (name: string) => Promise<void>
   storeKeys: (name: string) => Promise<string[]>
   storeLength: (name: string) => Promise<number>
+  draftGet: (key: string) => Promise<string | null>
+  draftSet: (key: string, value: string) => Promise<void>
+  draftDelete: (key: string) => Promise<void>
+  draftBlobPut: (data: ArrayBuffer) => Promise<string>
+  draftBlobGet: (id: string) => Promise<ArrayBuffer | null>
 
   getWindowID: () => Promise<string>
   onMenuCommand: (cb: (id: string) => void) => () => void

packages/desktop/src/renderer/index.tsx

@@ -9,6 +9,7 @@ import {
   type Locale,
   type Platform,
   PlatformProvider,
+  createDraftStore,
   ServerConnection,
   useCommand,
   useWslServers,
@@ -226,6 +227,13 @@ const createPlatform = (windowState: DesktopWindowState): Platform => {
     },
 
     storage,
+    draftStore: createDraftStore({
+      get: window.api.draftGet,
+      set: window.api.draftSet,
+      remove: window.api.draftDelete,
+      putBlob: (blob) => blob.arrayBuffer().then(window.api.draftBlobPut),
+      getBlob: (id) => window.api.draftBlobGet(id).then((data) => data && new Blob([data])),
+    }),
 
     updater: {
       state: updaterState,

packages/session-ui/src/v2/components/prompt-input/attachments.ts

@@ -78,6 +78,7 @@ export type PromptInputV2AttachmentConfig = {
   onError: (error: unknown) => void
   readClipboardImage?: () => Promise<File | null>
   getPathForFile?: (file: File) => string
+  store?: (file: File) => Promise<{ id: string; url: string }>
 }
 
 export function createPromptInputV2Attachments(
@@ -102,8 +103,7 @@ export function createPromptInputV2Attachments(
       if (toast) input.warn()
       return false
     }
-    const url = await dataUrl(file, mime)
+    const blob = input.store ? await input.store(file) : await blobReference(file)
-    if (!url) return false
     const sourcePath = input.getPathForFile?.(file) || undefined
     // Native clipboard images arrive with a fresh timestamped filename on every paste, so identical
     // clipboard content is matched on bytes alone.
@@ -112,7 +112,7 @@ export function createPromptInputV2Attachments(
       .some(
         (part) =>
           part.type === "image" &&
-          part.dataUrl === url &&
+          part.blob.id === blob.id &&
           (sourcePath
             ? part.sourcePath === sourcePath
             : !part.sourcePath && (clipboard || part.filename === file.name)),
@@ -127,7 +127,7 @@ export function createPromptInputV2Attachments(
       filename: file.name,
       sourcePath,
       mime,
-      dataUrl: url,
+      blob,
     }
     target.prompt.set([...target.prompt.current(), attachment], target.cursor)
     return true
@@ -219,20 +219,14 @@ export function createPromptInputV2Attachments(
   }
 }
 
-function dataUrl(file: File, mime: string) {
-  return new Promise<string>((resolve) => {
-    const reader = new FileReader()
-    reader.addEventListener("error", () => resolve(""))
-    reader.addEventListener("load", () => {
-      const value = typeof reader.result === "string" ? reader.result : ""
-      const index = value.indexOf(",")
-      resolve(index === -1 ? value : `data:${mime};base64,${value.slice(index + 1)}`)
-    })
-    reader.readAsDataURL(file)
-  })
-}
-
 const imageMimes = new Set(["image/png", "image/jpeg", "image/gif", "image/webp"])
+
+async function blobReference(file: File) {
+  const id = Array.from(new Uint8Array(await crypto.subtle.digest("SHA-256", await file.arrayBuffer())))
+    .map((byte) => byte.toString(16).padStart(2, "0"))
+    .join("")
+  return { id, url: URL.createObjectURL(file) }
+}
 const imageExtensions = new Map([
   ["gif", "image/gif"],
   ["jpeg", "image/jpeg"],

packages/session-ui/src/v2/components/prompt-input/index.tsx

@@ -425,7 +425,7 @@ export function PromptInputV2Attachments(props: {
                     }
                   >
                     <img
-                      src={attachment.dataUrl}
+                      src={attachment.blob.url}
                       alt={attachment.filename}
                       class="w-[58px] h-[46px] rounded-[6px] object-cover"
                       onClick={() => props.onAttachmentClick?.(attachment)}

packages/session-ui/src/v2/components/prompt-input/prompt-input.stories.tsx

@@ -121,7 +121,7 @@ function ControlledPromptInput() {
         id: "attachment-1",
         filename: "requirements.md",
         mime: "text/markdown",
-        dataUrl: "data:text/markdown;base64,IyBSZXF1aXJlbWVudHM=",
+        blob: { id: "requirements", url: "data:text/markdown;base64,IyBSZXF1aXJlbWVudHM=" },
       },
     ],
     cursor: 0,
@@ -199,7 +199,7 @@ function ControlledPromptInput() {
       id: `attachment-${store.state.prompt.filter((part) => part.type === "image").length + 1}`,
       filename,
       mime,
-      dataUrl: `data:${mime};base64,`,
+      blob: { id: filename, url: `data:${mime};base64,` },
     })
   }
 

packages/session-ui/src/v2/components/prompt-input/store.test.ts

@@ -13,7 +13,7 @@ function createPromptStore() {
           id: "attachment-1",
           filename: "notes.txt",
           mime: "text/plain",
-          dataUrl: "data:text/plain;base64,",
+          blob: { id: "a", url: "blob:a" },
         },
       ],
       cursor: 3,
@@ -50,7 +50,7 @@ describe("prompt input v2 store", () => {
         id: "attachment-1",
         filename: "notes.txt",
         mime: "text/plain",
-        dataUrl: "data:text/plain;base64,",
+        blob: { id: "a", url: "blob:a" },
       },
     ])
     expect(prompt.state.cursor).toBe(7)

packages/session-ui/src/v2/components/prompt-input/types.ts

@@ -31,7 +31,7 @@ export type PromptInputV2Attachment = {
   filename: string
   sourcePath?: string
   mime: string
-  dataUrl: string
+  blob: { id: string; url: string }
 }
 
 export type PromptInputV2Prompt = (

packages/web/src/content/docs/ar/go.mdx

@@ -60,6 +60,7 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
 - **MiMo-V2.5-Pro**
 - **MiniMax M3**
 - **MiniMax M2.7**
+- **Qwen3.8 Max**
 - **Qwen3.7 Max**
 - **Qwen3.7 Plus**
 - **Qwen3.6 Plus**
@@ -96,7 +97,8 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
 | 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           |
-| Qwen3.7 Max       | 950                 | 2,390              | 4,770            |
+| Qwen3.8 Max       | 160                 | 400                | 810              |
+| Qwen3.7 Max       | 340                 | 840                | 1,690            |
 | 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           |
@@ -114,6 +116,7 @@ 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
@@ -138,6 +141,7 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
 | 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       |
@@ -195,6 +199,7 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
 | 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`         |
@@ -227,6 +232,7 @@ 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             |

packages/web/src/content/docs/bs/go.mdx

@@ -70,6 +70,7 @@ 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**
@@ -106,7 +107,8 @@ 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            |
-| Qwen3.7 Max       | 950                | 2,390             | 4,770             |
+| Qwen3.8 Max       | 160                | 400               | 810               |
+| Qwen3.7 Max       | 340                | 840               | 1,690             |
 | 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            |
@@ -124,6 +126,7 @@ 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
@@ -148,6 +151,7 @@ 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       |
@@ -207,6 +211,7 @@ 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`         |
@@ -241,6 +246,7 @@ 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               |

packages/web/src/content/docs/da/go.mdx

@@ -70,6 +70,7 @@ 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**
@@ -106,7 +107,8 @@ 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                |
-| Qwen3.7 Max       | 950                     | 2,390               | 4,770                 |
+| Qwen3.8 Max       | 160                     | 400                 | 810                   |
+| Qwen3.7 Max       | 340                     | 840                 | 1,690                 |
 | 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                |
@@ -124,6 +126,7 @@ 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
@@ -148,6 +151,7 @@ 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     |
@@ -207,6 +211,7 @@ 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`         |
@@ -241,6 +246,7 @@ 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         |

packages/web/src/content/docs/de/go.mdx

@@ -62,6 +62,7 @@ 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**
@@ -98,7 +99,8 @@ 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             |
-| Qwen3.7 Max       | 950                    | 2,390              | 4,770              |
+| Qwen3.8 Max       | 160                    | 400                | 810                |
+| Qwen3.7 Max       | 340                    | 840                | 1,690              |
 | 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             |
@@ -116,6 +118,7 @@ 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
@@ -140,6 +143,7 @@ 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     |
@@ -197,6 +201,7 @@ 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`         |
@@ -229,6 +234,7 @@ 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            |

packages/web/src/content/docs/es/go.mdx

@@ -70,6 +70,7 @@ 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**
@@ -106,7 +107,8 @@ 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             |
-| Qwen3.7 Max       | 950                    | 2,390                 | 4,770              |
+| Qwen3.8 Max       | 160                    | 400                   | 810                |
+| Qwen3.7 Max       | 340                    | 840                   | 1,690              |
 | 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             |
@@ -124,6 +126,7 @@ 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
@@ -148,6 +151,7 @@ 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 |
@@ -207,6 +211,7 @@ 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`         |
@@ -241,6 +246,7 @@ 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             |

packages/web/src/content/docs/fr/go.mdx

@@ -60,6 +60,7 @@ 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**
@@ -96,7 +97,8 @@ 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            |
-| Qwen3.7 Max       | 950                   | 2,390                | 4,770             |
+| Qwen3.8 Max       | 160                   | 400                  | 810               |
+| Qwen3.7 Max       | 340                   | 840                  | 1,690             |
 | 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            |
@@ -114,6 +116,7 @@ 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
@@ -138,6 +141,7 @@ 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         |
@@ -195,6 +199,7 @@ 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`         |
@@ -227,6 +232,7 @@ 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                   |

packages/web/src/content/docs/go.mdx

@@ -70,6 +70,7 @@ 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**
@@ -106,7 +107,8 @@ 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             |
-| Qwen3.7 Max       | 950                 | 2,390             | 4,770              |
+| Qwen3.8 Max       | 160                 | 400               | 810                |
+| Qwen3.7 Max       | 340                 | 840               | 1,690              |
 | 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             |
@@ -126,6 +128,7 @@ 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
@@ -148,6 +151,7 @@ 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   |
@@ -207,6 +211,7 @@ 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`         |
@@ -241,6 +246,7 @@ 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         |

packages/web/src/content/docs/it/go.mdx

@@ -68,6 +68,7 @@ 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**
@@ -104,7 +105,8 @@ 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            |
-| Qwen3.7 Max       | 950                  | 2,390                 | 4,770             |
+| Qwen3.8 Max       | 160                  | 400                   | 810               |
+| Qwen3.7 Max       | 340                  | 840                   | 1,690             |
 | 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            |
@@ -122,6 +124,7 @@ 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
@@ -146,6 +149,7 @@ 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      |
@@ -205,6 +209,7 @@ 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`         |
@@ -239,6 +244,7 @@ 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               |

packages/web/src/content/docs/ja/go.mdx

@@ -60,6 +60,7 @@ 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**
@@ -96,7 +97,8 @@ 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           |
-| Qwen3.7 Max       | 950                       | 2,390            | 4,770            |
+| Qwen3.8 Max       | 160                       | 400              | 810              |
+| Qwen3.7 Max       | 340                       | 840              | 1,690            |
 | 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           |
@@ -114,6 +116,7 @@ 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
@@ -138,6 +141,7 @@ 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   |
@@ -195,6 +199,7 @@ 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`         |
@@ -227,6 +232,7 @@ 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        |

packages/web/src/content/docs/ko/go.mdx

@@ -60,6 +60,7 @@ 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**
@@ -96,7 +97,8 @@ 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         |
-| Qwen3.7 Max       | 950               | 2,390          | 4,770          |
+| Qwen3.8 Max       | 160               | 400            | 810            |
+| Qwen3.7 Max       | 340               | 840            | 1,690          |
 | 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         |
@@ -114,6 +116,7 @@ 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
@@ -138,6 +141,7 @@ 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   |
@@ -195,6 +199,7 @@ 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`         |
@@ -227,6 +232,7 @@ 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         |

packages/web/src/content/docs/nb/go.mdx

@@ -70,6 +70,7 @@ 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**
@@ -106,7 +107,8 @@ 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                 |
-| Qwen3.7 Max       | 950                      | 2,390                | 4,770                  |
+| Qwen3.8 Max       | 160                      | 400                  | 810                    |
+| Qwen3.7 Max       | 340                      | 840                  | 1,690                  |
 | 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                 |
@@ -124,6 +126,7 @@ 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
@@ -148,6 +151,7 @@ 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  |
@@ -207,6 +211,7 @@ 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`         |
@@ -241,6 +246,7 @@ 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         |

packages/web/src/content/docs/pl/go.mdx

@@ -64,6 +64,7 @@ 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**
@@ -100,7 +101,8 @@ 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             |
-| Qwen3.7 Max       | 950                 | 2,390              | 4,770              |
+| Qwen3.8 Max       | 160                 | 400                | 810                |
+| Qwen3.7 Max       | 340                 | 840                | 1,690              |
 | 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             |
@@ -118,6 +120,7 @@ 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
@@ -142,6 +145,7 @@ 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    |
@@ -199,6 +203,7 @@ 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`         |
@@ -233,6 +238,7 @@ 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           |

packages/web/src/content/docs/pt-br/go.mdx

@@ -70,6 +70,7 @@ 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**
@@ -106,7 +107,8 @@ 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              |
-| Qwen3.7 Max       | 950                     | 2,390                  | 4,770               |
+| Qwen3.8 Max       | 160                     | 400                    | 810                 |
+| Qwen3.7 Max       | 340                     | 840                    | 1,690               |
 | 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              |
@@ -124,6 +126,7 @@ 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
@@ -148,6 +151,7 @@ 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 |
@@ -207,6 +211,7 @@ 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`         |
@@ -241,6 +246,7 @@ 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            |

packages/web/src/content/docs/ru/go.mdx

@@ -70,6 +70,7 @@ 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**
@@ -106,7 +107,8 @@ 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           |
-| Qwen3.7 Max       | 950                 | 2,390             | 4,770            |
+| Qwen3.8 Max       | 160                 | 400               | 810              |
+| Qwen3.7 Max       | 340                 | 840               | 1,690            |
 | 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           |
@@ -124,6 +126,7 @@ 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
@@ -148,6 +151,7 @@ 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           |
@@ -207,6 +211,7 @@ 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`         |
@@ -241,6 +246,7 @@ 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          |

packages/web/src/content/docs/th/go.mdx

@@ -60,6 +60,7 @@ OpenCode Go ทำงานเหมือนกับผู้ให้บร
 - **MiMo-V2.5-Pro**
 - **MiniMax M3**
 - **MiniMax M2.7**
+- **Qwen3.8 Max**
 - **Qwen3.7 Max**
 - **Qwen3.7 Plus**
 - **Qwen3.6 Plus**
@@ -96,7 +97,8 @@ 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            |
-| Qwen3.7 Max       | 950                    | 2,390               | 4,770             |
+| Qwen3.8 Max       | 160                    | 400                 | 810               |
+| Qwen3.7 Max       | 340                    | 840                 | 1,690             |
 | 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            |
@@ -114,6 +116,7 @@ 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
@@ -138,6 +141,7 @@ 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   |
@@ -195,6 +199,7 @@ 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`         |
@@ -227,6 +232,7 @@ 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              |

packages/web/src/content/docs/tr/go.mdx

@@ -60,6 +60,7 @@ 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**
@@ -96,7 +97,8 @@ 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      |
-| Qwen3.7 Max       | 950                | 2,390          | 4,770       |
+| Qwen3.8 Max       | 160                | 400            | 810         |
+| Qwen3.7 Max       | 340                | 840            | 1,690       |
 | 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      |
@@ -114,6 +116,7 @@ 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
@@ -138,6 +141,7 @@ 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      |
@@ -195,6 +199,7 @@ 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`         |
@@ -227,6 +232,7 @@ 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        |

packages/web/src/content/docs/zh-cn/go.mdx

@@ -60,6 +60,7 @@ 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**
@@ -96,7 +97,8 @@ 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     |
-| Qwen3.7 Max       | 950             | 2,390      | 4,770      |
+| Qwen3.8 Max       | 160             | 400        | 810        |
+| Qwen3.7 Max       | 340             | 840        | 1,690      |
 | 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     |
@@ -116,6 +118,7 @@ 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
@@ -138,6 +141,7 @@ 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      |
@@ -195,6 +199,7 @@ 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`         |
@@ -227,6 +232,7 @@ 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     |

packages/web/src/content/docs/zh-tw/go.mdx

@@ -60,6 +60,7 @@ 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**
@@ -96,7 +97,8 @@ 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     |
-| Qwen3.7 Max       | 950             | 2,390      | 4,770      |
+| Qwen3.8 Max       | 160             | 400        | 810        |
+| Qwen3.7 Max       | 340             | 840        | 1,690      |
 | 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     |
@@ -114,6 +116,7 @@ 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
@@ -138,6 +141,7 @@ 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    |
@@ -195,6 +199,7 @@ 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`         |
@@ -227,6 +232,7 @@ 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     |