Alibaba's Qwen3.8-Max Claims to Beat GPT-5.6 on Agentic Tasks
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TL;DR – Alibaba's new Qwen3.8‑Max, a 2.4‑trillion‑parameter mixture‑of‑experts LLM, claims top scores on the OSWorld‑Verified benchmark, edging out GPT‑5.6, Sol Max and Fable 5 in agentic computing tasks. The AI arms race just got a fresh challenger. Late last night, Alibaba’s Qwen research team rolled out Qwen3.8‑Max , a multimodal, mixture‑of‑experts (MoE) large language model built to tackle the toughest autonomous‑software‑engineering problems and long‑horizon enterprise workflows. If the…
1Key Takeaways
- TL;DR – Alibaba's new Qwen3.8‑Max, a 2.4‑trillion‑parameter mixture‑of‑experts LLM, claims top scores on the OSWorld‑Verified benchmark, edging out GPT‑5.6, Sol Max and Fable 5 in agentic computing tasks.
- The AI arms race just got a fresh challenger.
- Late last night, Alibaba’s Qwen research team rolled out Qwen3.8‑Max , a multimodal, mixture‑of‑experts (MoE) large language model built to tackle the toughest autonomous‑software‑engineering problems and long‑horizon enterprise workflows.
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — AI reports that tL;DR – Alibaba's new Qwen3.8‑Max, a 2.4‑trillion‑parameter mixture‑of‑experts LLM, claims top scores on the OSWorld‑Verified benchmark, edging out GPT‑5.6, Sol Max and Fable 5 in agentic computing tasks.
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