Qwen3.8: much thinking for nothing

Reddit r/LocalLLaMA Models

Summary

A user expresses dissatisfaction with the Qwen3.8 27B model, criticizing its tendency to overthink and overreach, which wastes time and context during tasks, and asks for community feedback on practical usage.

So, like many people here I'm trying out Qwen3.8 27B, but I have to say, right now I'm not satisfied: a lot of thinking and a lot of overreaching the task assigned, which ends up in eating up time and context before starting actually working on the assigned task. I hear you say: it's the harness. Well, it might be, but it works much better with other models, and and I remember Q3.6 having still the same willingness to do unasked things but I more or less tamed it... but now it's really out of control. What are your impressions? Not on benchmarks, but on actual usage.
Original Article

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