完整程式碼所有權
隨時匯出你的程式碼或同步到 GitHub。你建立的一切都歸你所有。
Qwen3.8-Max
Alibaba's flagship multimodal model for coding, research, visual understanding, and long-running agents—with 1M context and tool support.
無需信用卡幾秒內部署完整程式碼所有權
受到來自以下地區客戶的信賴
Qwen3.8-Max 是什麼？
Qwen3.8-Max is Alibaba's current Max-tier Qwen model for complex reasoning, coding, visual understanding, research, and long-running agents. The hosted model ID is qwen3.8-max. Current provider listings document a 1M-token context window, up to 131,072 output tokens, multimodal input, thinking and non-thinking modes, function calling, structured output, and built-in tools. OpenRouter lists standard provider pricing of $2 per million input tokens and $6 per million output tokens.
| Fact | Current value |
|---|---|
| Provider | Alibaba / Qwen |
| Hosted model ID | qwen3.8-max |
| Context / max output | 1M / 131,072 tokens |
| Inputs | Text, images, and video on the hosted model |
| Output | Text |
| Tools | Function calling, structured output, official built-in tools |
| Standard API price | $2/1M input; $6/1M output on the current international provider listing |
| Open checkpoint | Qwen/Qwen3.8-2.4T-A95B |
| Important distinction | Hosted and open-weight variants do not expose identical capabilities |
| Verified | August 23, 2026 |
Official sources: Alibaba Model Studio model information, Alibaba model pricing, and the Qwen3.8-Max provider listing.
Qwen3.8-Max succeeds the Qwen3.8 Max Preview and is Alibaba's highest-capability hosted Qwen model at this research cutoff. Alibaba positions it for coding, research, office workflows, native visual understanding, long documents and videos, and autonomous multi-step execution.
The hosted model and the downloadable Qwen3.8 checkpoint must be evaluated separately. The hosted route includes native visual input, non-thinking mode, a default 1M context window, and official built-in tools. The open checkpoint gives teams weight-level control, but does not automatically inherit every hosted feature.
- Repository-scale coding and debugging
- Long-running research and agent workflows
- Multimodal document, screenshot, and video analysis
- Tool-connected business workflow automation
- Complex planning that must survive many iterative steps
The 2.4T model is expensive to self-host at full precision, provider-reported benchmark and autonomy claims are not independent success rates, and hosted/open behavior can differ. Validate the exact route, prompt, reasoning settings, and tools before production use.
程式碼生成
錯誤偵測與修復
程式碼重構
程式碼說明
文件生成
單元測試編寫
為什麼選擇 Atoms為什麼在 Atoms 上使用 Qwen3.8-Max？
- Turn research into a working product: keep source material, requirements, implementation, and review in one project workflow.
- Use multimodal context: bring screenshots, documents, and product references into planning and implementation.
- Coordinate long tasks: organize research, coding, design, QA, and iteration around explicit acceptance criteria.
- Review before launch: inspect the working result and correct issues instead of treating the first generation as final.
- Compare alternatives: use the same brief to compare Qwen3.8-Max with other available models when cost or behavior matters.
Atoms access and credits are separate from Alibaba or third-party API pricing. Check the current Atoms model selector and plan limits before budgeting production use.
多智能體 AI 團隊
產品經理、工程師和設計師協同合作，將你的提示轉化為完整產品。
幾分鐘上線，而不是幾個月
一次對話，即可從想法到已部署的產品。無需設定，無需配置。
完整程式碼所有權
可隨時匯出到 GitHub。所有內容都歸你所有——無供應商綁定。
如何在 Atoms 上使用 Qwen3.8-Max
立即開始建立01
Define the user problem, evidence to collect, constraints, and the result the finished product must deliver.
02
Turn market signals and requirements into a scoped architecture, milestones, risks, and measurable acceptance criteria.
03
Build, run, inspect, and improve the product in repeatable cycles so progress is grounded in working evidence.
04
Validate the critical flow, deploy the application, and keep iterating from the live result rather than a static draft.
為什麼在 Atoms 上使用 Qwen3.8-Max 進行建置
競速模式
平行產生多個設計變體並選出最佳方案。藉助 AI 驅動的迭代更快交付。
一鍵部署
立即上線。Atoms 會處理託管、SSL 和伺服器設定，讓你可以專注於建置。
可擴充平台
自訂網域、分析、身分驗證、資料庫等——營運真實產品所需的一切。
你可以用 Qwen3.8-Max 建立什麼
SaaS 儀表板
建置一個具備使用者驗證、計費和即時分析功能的全端 SaaS。
電子商務商店
建立一個包含購物車、結帳和 Stripe 付款的產品目錄。
內部工具
在幾分鐘內為你的團隊交付管理面板、CRM 和工作流程工具。
行動應用程式
建立具備原生體驗 UI 和推播通知的跨平台行動應用程式。
查看我們的精選使用案例
團隊已在 Atoms 上發布的真實應用和頁面——選擇一個作為起點。
Atoms 與從零開始建置對比
AtomsDIY / 從零開始
上線時間
分鐘
數週到數月
所需技術技能
無
全端開發
部署與託管
一鍵即可，已包含
需要手動設定
AI 模型存取
頂級 AI 模型，預先配置完成
API 金鑰、SDK 和計費
持續維護
已為您處理
一切由你掌控
- 每天 15 個免費額度你的每日配額會自動補充——無需盯著分頁，也能持續迭代。
- 無需信用卡使用電子郵件或 Google 可在幾秒內註冊——立即開始免費方案建置。
- 頂級 AI 模型，一個帳戶盡享隨時在同一聊天中切換 Qwen3.8-Max 和其他前沿模型。
- 無需設定，無需基礎設施你的 AI 團隊負責規劃、建構和預覽——無需管理本地工具鏈或部署流程。
- 可用於生產環境的部署每次建置都可部署到帶有自訂網域、SSL 和版本歷史記錄的線上 URL。
常見問題
Build the Project, Not Just the First Draft
Turn research, planning, engineering, and release into one continuous product workflow.
在 Atoms 上探索更多 AI 模型
程式碼模型
