Qwen3.8: A 2.4T-Parameter Open Model That Beats GPT-5.6 Sol on PaperBench

Qwen/Qwen3.8-2.4T-A95B

Qwen3.8: A 2.4T-Parameter Open Model That Beats GPT-5.6 Sol on PaperBench

Qwen releases Qwen3.8-2.4T-A95B, its most capable open model yet, with 2.4 trillion total parameters and 95 billion activated. Built on Qwen3.5's architecture, it excels in coding, professional work, research, and long-horizon agentic tasks. Benchmark results show it outperforms GPT-5.6 Sol on PaperBench (93.0 vs 90.5) and rivals Claude Opus 4.8 on several coding benchmarks. The model supports flexible reasoning control and is compatible with vLLM, SGLang, and TokenSpeed.

For the first time, Qwen3.8 brings a Qwen-Max-class model to open release.

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2026-08-12