@kimmonismus: Holy, China strikes again: Qwen3.8-Max reportedly worked autonomously for 16 days while costing 80% less than GPT-5.6 S…
Summary
Alibaba announces Qwen3.8-Max, a 2.4T-parameter MoE frontier model with open weights coming next week, claiming autonomous operation for 16 days and significantly lower cost than GPT-5.6 Sol and Claude Fable 5.
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Cached at: 08/03/26, 09:38 AM
Holy, China strikes again: Qwen3.8-Max reportedly worked autonomously for 16 days while costing 80% less than GPT-5.6 Sol and 88% less than Claude Fable 5 on output. And its open weight!
Alibaba’s 2.4T-parameter MoE costs $2/M input tokens and $6/M output tokens.
GPT-5.6 Sol: 5/30. Claude Fable 5: 10/50.
Qwen says the model operated autonomously for 16 days, producing 265 commits, 127 PRs and 151 issues through an issue -> code -> test -> repair -> merge loop.
It does not lead every benchmark. But it reaches the frontier range across coding, professional work and computer use, while PaperBench puts it ahead of both Fable 5 and GPT-5.6 Sol at a very good pricing.
Open weights arrive next week.
A model that can economically work for ten days may be more useful than a better model you can afford to run for ten minutes.
Ngl another insane china release.
Qwen (@Alibaba_Qwen): 📢Meet Qwen3.8-Max — our most capable model to date.
Next week, the open weights of Qwen3.8-Max will be released, and Qwen3.8-27B is also going open-weights to meet you all!🎉
Qwen3.8-Max, a new bar for coding and cowork at 2.4T parameters:
- Autonomous coding: 10+ days of
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