Alibaba Unveils 2.4T Parameter Flagship Model Qwen3.8-Max: 16-Day Independent Development and Open-Sourced Weights Spark Heated Discussion
On August 3, 2026, Alibaba released Qwen3.8-Max, which features a 2.4T MoE architecture and a million-token context window. It internally built and open-sourced oh-my-cli without manual intervention during 16 days of testing. The post on Hacker News gained over 1090 points. Next week will mark the first open release of the Max-level model weights, with support for OpenAI and Claude Code compatible APIs, sparking discussions about long-range programming Agents.
Read MoreAlibaba Releases Qwen 3.8-Max: 2.4T-Parameter Max-Level Model Open-Sourced for the First Time
On August 3, 2026, Alibaba Cloud officially launched Qwen 3.8-Max: a sparse MoE model with 2.4 trillion total parameters and 95 billion activated parameters, featuring a 1-million-token context window and multimodal input support. This marks the first time a Qwen-Max series model has promised open-source weights, and it is expected to be available on Hugging Face and ModelScope next week. The API has already gone live on QwenCloud, Model Studio, and Vercel AI Gateway (alibaba/qwen3.8-max), and supports Agent tools such as Claude Code and Codex. This article sorts out the verified specifications, key long-range Agent capabilities and access methods for developers to evaluate and call, or wait for self-hosting.
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