Alibaba made Qwen3.8-Max generally available on August 3, 2026. This is a practical rundown for...
Alibaba launched Qwen3.8-Max on August 3: a 2.4-trillion-parameter sparse-MoE model with 1M-token context, native multimodal, and $2/M input and $6/M output pricing. Prompt caching reduces input cost 8x ($0.17/M vs. $2.00 fresh), making stable-prefix architectures (200K system prompts, tool schemas) cost-dominant for agent loops and RAG—a shift in how to budget AI stack decisions.
Alibaba made Qwen3.8-Max generally available on August 3, 2026.
This is a practical rundown for developers: what the model is, what it costs, how to call it, and where the claims still need a pinch of salt.
The one-line version
Qwen3.8-Max is a 2.4-trillion-parameter Mixture-of-Experts model with a 1M-token context window, native text/image/video input, OpenAI-compatible API, and pricing of $2 in / $6 out per million tokens. Open weights are promised for next week.
First, the naming confusion
The biggest AI developments, decoded. 05 Aug 2026. | Business News
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