Evidence brief
SGLang and Miles supported Qwen3.8-2.4T-A95B on launch day; the model is Qwen’s largest open-source model, with 2.4T total parameters, 95B active per token, and a hybrid attention architecture.
SGLang and Miles supported Qwen3.8-2.4T-A95B on launch day; the model is Qwen’s largest open-source model, with 2.4T total parameters, 95B active per token, and a hybrid attention architecture.
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Source attributionLMSYS: Blog (Chatbot Arena team) · LMSYS：Blog（Chatbot Arena 团队）
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Alibaba’s Qwen team has officially opened the Qwen3.8-2.4T-A95B model weights; the model has 2.4T total parameters, activates 95B per Token, and natively supports a 262,144 Token context.
Original sourceGoSailGlobal reposted @vista8’s post; @vista8 listed Grok 4.6, DeepSeek V4 Pro 0813, WeLM-617B, and Qwen3.8-2.4T-A95B, asking which one people most want to test first.
Original sourceFireworks announced that Qwen3.8-2.4T-A95B is now live with Day-0 support; the 2.4T-parameter MoE model is built for autonomous agents, heavy coding, and large context windows.
Original sourceTogether AI announced that Qwen3.8-Max went live on day zero, saying it worked with @Alibaba_Qwen, @vllm_project, and Inferact to support early testing and enable day-one support.
Original sourceTogether AI announced that Qwen3.8-2.4T-A95B is now live; the latest flagship model from Qwen Team targets coding and long-horizon agent workflows, with 2.4T parameters and a 256K context window.
Original source