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Story

Qwen 3.8 27B is excellent, but it defaults to overthinking things

1 report

1 website

1 discussion

Latest report

Overview

Qwen 3.8 27B is a vision-capable language model with 27 billion parameters, released under the Apache 2 license by Alibaba's Qwen research lab. Self-reported benchmarks indicate significant performance improvements over its predecessor, Qwen 3.6 27B.

Summary from simonwillison.net.

Reports

One report so far. Additional coverage will appear here when it is linked to this story.

  1. simonwillison.net

    Qwen 3.8 27B is excellent, but it defaults to overthinking things

    Read report →

Community reactions

Each reaction summarizes sampled comments from the linked discussion.

Hacker News · simonwillison.net

Qwen 3.8 27B is excellent, but it defaults to overthinking things ↗
Hacker News discussion ↗

Historical count: 5 · 5 saved in sample · Historical sample

Analysis ready

Read this discussion’s reaction

Based on 5 sampled comments from this thread. Analyzed 2026-08-17.

  • Praise: The fact that a 17GB model can perform so well on consumer hardware is nothing short of miraculous — it's a game-changer for accessibility.
  • Praise: Many users are thrilled with the coding performance of Qwen, even on mid-range setups, showing just how far local models have come.
  • Praise: There's excitement about how Qwen's reasoning, while verbose, demonstrates the impressive amounts of hidden 'thinking' that contribute to its capabilities.
  • Concern: The model's tendency to overthink is a major pain point, leading to unnecessary token usage and frustrating slowdowns in performance.
  • Concern: Commenters are concerned that the verbose reasoning process can dilute the effectiveness of outputs, making it feel like the model is just going in circles.
  • Concern: Comparisons with Muse 30B highlight Qwen's inefficiency, with users noting that it generates far too many reasoning tokens for simple tasks.