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English(EN) Simon Willison: Qwen 3.8 27B is excellent, but it defaults to wildly overthinking things

Qwen 3.8 27B LLM 因能力获赞,但因过度思考的默认设置而受批评

阿里巴巴的 Qwen 研究实验室发布了 Qwen 3.8 27B,这是一个开源的、具备视觉能力的 LLM。虽然它因其能力和大小而受到赞扬,适合本地硬件,但用户报告称其默认的推理努力设置会导致过度的“过度思考”。这会导致即使是简单的任务也需要显著更长的处理时间,一些用户难以完成先前版本或其他模型能更快处理的任务。将推理努力设置调整到较低级别可以缓解此问题,尽管一些用户仍在试验以找到最佳配置。 AI

影响 Qwen 3.8 27B 的默认“过度思考”行为凸显了在本地部署中平衡模型能力与高效资源利用的挑战。

排序理由 该集群由关于最近发布的模型的博客文章和社交媒体讨论组成,重点关注用户体验和性能怪癖,而不是实验室本身的官方发布公告。

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Qwen 3.8 27B LLM 因能力获赞,但因过度思考的默认设置而受批评

报道来源 [14]

  1. Simon Willison TIER_1 English(EN) ·

    Qwen 3.8 27B 表现出色,但默认会过度思考

    <p>Friday's big release was <a href="https://huggingface.co/Qwen/Qwen3.8-27B">Qwen 3.8 27B</a>, an Apache 2 licensed 27B parameter vision-capable LLM from Alibaba's Qwen research lab. I've been looking forward to this one: 27B is an excellent size for running a model on a reasona…

  2. r/LocalLLaMA TIER_1 English(EN) · /u/Altruistic_Heat_9531 ·

    Qwen 3.8 27B 过度思考,必须这样做,必须过度思考才能超越 Opus 4.6

    <!-- SC_OFF --><div class="md"><p>Yes, it sucks to waste time waiting on 16K+ reasoning tokens alone. But here's the thing, this is only a 27B model trying to perform on par with 1T+ parameter models. Something has to be sacrificed, and that sacrifice is the amount of reasoning o…

  3. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Qwen 3.8 27B 非常出色,但它默认会过度思考 https:// lobste.rs/s/k7myyp # ai # vibecoding https:// simonwillison.net/2026/Aug/16/ q

    Qwen 3.8 27B is excellent, but it defaults to wildly overthinking things https:// lobste.rs/s/k7myyp # ai # vibecoding https:// simonwillison.net/2026/Aug/16/ qwen-38-27b/

  4. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Qwen 3.8 27B 表现出色,但默认会过度思考 https://simonwillison.net/2026/Aug/16/qwen-38-27b/ # AI # LLM # Tech

    Qwen 3.8 27B is excellent, but it defaults to wildly overthinking things https://simonwillison.net/2026/Aug/16/qwen-38-27b/ # AI # LLM # Tech

  5. r/LocalLLaMA TIER_1 English(EN) · /u/sukazu ·

    非主流观点:Qwen 3.8 27b 并非过度思考者

    <!-- SC_OFF --><div class="md"><p>Yes it uses a ton more reasoning tokens than 3.6 did</p> <p>But test in on the same tasks with the other chinese models, glm 5.3, deepseek v4 flash and pro, etc it's really similar, and they are needed</p> <p>The reality is, we're just frustrated…

  6. r/LocalLLaMA TIER_1 English(EN) · /u/MikeNonect ·

    如何阻止Qwen3.8-27b过度思考

    <!-- SC_OFF --><div class="md"><p>I see a lot of people struggle with Qwen3.8-27b overthinking, and I wanted to share a really straightforward fix that works for me.</p> <p>Before setting these llamacpp flags, I often had Qwen thinking for over 90 minutes, which was really imprac…

  7. r/LocalLLaMA TIER_1 English(EN) · /u/maxwell321 ·

    长篇评测:Qwen 3.8 27B 非常擅长利用其真实世界知识。“过度思考”使其达到 Sonnet 级别的性能,并有潜力达到 Opus 级别的结果。

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1vqm51f/long_review_qwen_38_27b_is_very_good_at_tapping/"> <img alt="Long Review: Qwen 3.8 27B is VERY good at tapping into it's real-world knowledge. It's &quot;overthinking&quot; brings it to Sonnet level pe…

  8. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Qwen 3.8 27B 表现出色,但默认会过度思考 https:// simonwillison.net/2026/Aug/16/ qwen-38-27b/ Comments: https:// news.ycombinator.com/i

    Qwen 3.8 27B is excellent, but it defaults to overthinking things https:// simonwillison.net/2026/Aug/16/ qwen-38-27b/ Comments: https:// news.ycombinator.com/item?id=4 9324985 # HackerNews # Qwen3 .8 # Overthinking # AI # TechNews # Innovation

  9. r/LocalLLaMA TIER_1 English(EN) · /u/NelsonMinar ·

    Simon Willison:Qwen 3.8 27B 非常出色,但它默认会过度思考

    <!-- SC_OFF --><div class="md"><p>I look to Simon for a broad survey of current LLM tech. Here's <a href="https://simonwillison.net/2026/Aug/16/qwen-38-27b/">his review of playing with Qwen 3.8 27B</a>. His comment <a href="https://fedi.simonwillison.net/@simon/117107511994840560…

  10. r/LocalLLaMA TIER_1 (TL) · /u/LippyBumblebutt ·

    Qwen 3.8-27b 无法进行长思考?

    <!-- SC_OFF --><div class="md"><p>I have a small coding test, where I ask a model to implement a simple CLI from a spec file. Qwen3.6-27b can do it in ~50k tokens.</p> <p>Qwen3.<em>8</em>-27b uses an absurd amount of thinking. I did a few runs, but never finished a single one, be…

  11. r/LocalLLaMA TIER_1 English(EN) · /u/germangrower69 ·

    有人成功在vLLM上流畅运行Qwen 3.8 27B吗?无法摆脱无休止的思考

    <!-- SC_OFF --><div class="md"><p>Title pretty much says it all. I’ve deployed Qwen 3.8 27B using vLLM on an RTX 6000 Pro (tried multiple vLLM releases and launch recipes), but I can't get it into a usable state because of crazy long reasoning passes.</p> <p>Regardless of the thi…

  12. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    Qwen 3.8 27B 非常出色,但它默认会过度思考 Article URL: https:// simonwillison.net/2026/Aug/16/ qwen-38-27b/ Comments URL: https:// news.

    Qwen 3.8 27B is excellent, but it defaults to overthinking things Article URL: https:// simonwillison.net/2026/Aug/16/ qwen-38-27b/ Comments URL: https:// news.ycombinator.com/item?id=4 9324985 Points: 17 # Comments: 3 https:// simonwillison.net/2026/Aug/16/ qwen-38-27b/ # Tech #…

  13. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    Qwen 3.8 27B 表现出色,但默认会过度思考 https://simonwillison.net/2026/Aug/16/qwen-38-27b/ # HackerNews # Tech # AI

    Qwen 3.8 27B is excellent, but it defaults to overthinking things https://simonwillison.net/2026/Aug/16/qwen-38-27b/ # HackerNews # Tech # AI

  14. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    Qwen 3.8 27B 表现出色,但默认会过度思考 https://simonwillison.net/2026/Aug/16/qwen-38-27b/ # AI # LLM # OpenSource

    Qwen 3.8 27B is excellent, but it defaults to wildly overthinking things https://simonwillison.net/2026/Aug/16/qwen-38-27b/ # AI # LLM # OpenSource