Qwen opens a 2.4T model to self-hosting, with 95B active parameters
The Alibaba Cloud model activates 95B parameters per token, supports adjustable reasoning depth and offers a self-hosted alternative to OpenAI's GPT-5.5 Pro.
By RuntimeWire Staff · Published
Primary source: GitHub Gist
Why it matters
Qwen3.8 gives infrastructure teams downloadable weights for an Alibaba Max-class model with 95B active parameters, creating a self-hosted option for organizations that prioritize deployment control, data residency and inference customization over a fully managed API.
On August 12th, Alibaba Cloud's Qwen team released Qwen3.8-2.4T-A95B, an open-weight mixture-of-experts model with 2.4 trillion total parameters and 95 billion active during inference. Developers can download its weights and configuration files rather than relying exclusively on a hosted model provider.…
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