Alibaba Qwen Releases Qwen3.8-Max: A 2.4 Trillion Parameter MoE Model and the Most Capable One in the Qwen Family to Date
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-compati
Alibaba's Qwen team has released Qwen3.8-Max, a 2.4-trillion-parameter mixture-of-experts model that accepts text, image, and video as input and produces text output. The model is available through a hosted API compatible with existing integrations, while open-weight versions are planned for release the following week. According to published benchmarks, Qwen3.8-Max ranks ahead of some competing models on certain tasks like document analysis and vision-based benchmarks, though it trails on some software engineering tests. The model offers a 1-million-token context window and is priced at $2 per million input tokens and $6 per million output tokens, with cached input available at lower cost.
Explainer: What Is a Mixture of Experts Model and Why Does It Use Fewer Resources?
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