Artificial Intelligence · 03.08.2026, 11:03 UTC
Alibaba Qwen Releases Qwen3.8-Max: A 2.4 Trillion Parameter MoE Model and the Most Capable One in the Qwen Family to Date
| Schweregrad | info |
|---|---|
| Kategorie | Artificial Intelligence |
| Quelle | MarkTechPost ↗ |
| Veröffentlicht | 03.08.2026 UTC |
Sicherheitsmeldung mit Schweregrad noch nicht bewertet. Technische Details im Tab „Originaltext“; empfohlene Schritte in der Checkliste.
Alibaba’s Qwen team has made Qwen3.8-Max broadly available and confirmed that its open weights ship next week. A second checkpoint, Qwen3.8-27B, is also going open-weights. Qwen3.8-Max is a 2.4-trillion-parameter mixture-of-experts model. It accepts text, image and video as input and returns text.
Is it deployable
Yes, but the deployable surface depends on which artifact you are applying.
The hosted API is deployable today by any company size. It is OpenAI- and DashScope-compatible, so integration is a base-URL and model-ID change. The open weights are a different matter. At 2.4T total parameters, the checkpoint is a multi-node datacenter artifact. Alibaba has not disclosed the activated-parameter count. Serving cost therefore cannot yet be modeled. Qwen3.8-27B is the checkpoint that fits ordinary on-premise GPU hardware.
The published feature set maps cleanly onto four industries. Those are software engineering, legal and financial document review, media and e-commerce operations, and design.
Applications include repository-scale coding agents and long-document knowledge bases. Long-video indexing, structured data extraction and multi-step research assistants also fit.
Interactive explainer
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What is Technically Available
The model page lists a 1M-token context window. Maximum input is 991K tokens, dropping to 983K when thinking is enabled. Maximum output is 131K tokens in both modes, and the maximum reasoning budget is 262K tokens. Rate limits are 2M tokens per minute and 15K requests per minute.
Pricing is $2.00 per 1M input tokens and $6.00 per 1M output …