HomeAlibaba Unveils 2.4 Trillion-Parameter Open-Source Large Model, Challenging Fable 5
The open-source community has recently achieved a major milestone with the official release of Qwen3.8-2.4T-A95B model weights by Alibaba’s Qwen team. This marks the first time the team has fully opened its flagship Max-level model to global developers and researchers.
At the core of this release is a model with 2.4 trillion total parameters, activating 95 billion per token. It natively supports an ultra-long context window of 260,000 tokens, expandable to 1,010,000 tokens. Building on the Qwen3.5 architecture, it delivers comprehensive performance gains in coding, office productivity, research assistance, and long-term autonomous agent tasks.
In authoritative benchmarks, the model demonstrates top-tier performance, ranking highly on PaperBench for paper reproduction and OSWorld-Verified for computer operation capabilities. It even outperforms several international mainstream models in key metrics. Notably, its robust long-term autonomy allows it to independently handle complex programming tasks spanning days and autonomously reproduce or optimize research papers.
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The open-source community has recently achieved a major milestone with the official release of Qwen3.8-2.4T-A95B model weights by Alibaba’s Qwen team. This marks the first time the team has fully opened its flagship Max-level model to global developers and researchers.
At the core of this release is a model with 2.4 trillion total parameters, activating 95 billion per token. It natively supports an ultra-long context window of 260,000 tokens, expandable to 1,010,000 tokens. Building on the Qwen3.5 architecture, it delivers comprehensive performance gains in coding, office productivity, research assistance, and long-term autonomous agent tasks.
In authoritative benchmarks, the model demonstrates top-tier performance, ranking highly on PaperBench for paper reproduction and OSWorld-Verified for computer operation capabilities. It even outperforms several international mainstream models in key metrics. Notably, its robust long-term autonomy allows it to independently handle complex programming tasks spanning days and autonomously reproduce or optimize research papers.
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