gg2
Qwen 3.8 27B overthinking default
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一句话看懂
Qwen 3.8 27B defaults to xhigh reasoning, burning 22,276 tokens on one SVG. Users should run it on low or no reasoning to avoid overthinking.
背景
Alibaba's Qwen lab released Qwen 3.8 27B, an Apache 2 licensed 27B parameter vision-capable LLM, on Friday. It's designed to run on consumer hardware, but its default reasoning effort is set to 'xhigh', causing it to overthink even simple tasks. Simon Willison's review highlighted this issue, showing that a simple SVG request took 21 minutes and 22,276 reasoning tokens, while turning reasoning off produced similar results in 137 seconds.
来龙去脉
- Aug 14, 2026Qwen 3.8 27B is released on Hugging Face, with benchmarks showing improvements over Qwen 3.6 27B and Qwen 3.7-Plus.
- Aug 16, 2026Simon Willison publishes a review noting the model's default 'xhigh' reasoning effort leads to overthinking, using 22,276 reasoning tokens for a pelican SVG that took 21 minutes.
- Aug 17, 2026Discussion spreads on Hacker News and social media, with users echoing the overthinking issue and recommending lower reasoning settings.
各方怎么说
- Expert
- Simon Willison calls the default 'a hilarious default' and advises running the model on low or no reasoning first.
- Community
- Some users on Hacker News note that overthinking is a speed and cost issue, preferring terse models for agent tasks.
- Skeptic
- A Reddit user claims the overthinking is due to a structural defect in the model's temporal processing layers, not just a default setting.
待核实
Claims of a structural defect in SSM layers causing overthinking are from a single Reddit user and not confirmed.