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English(EN) The difference between "medium" and "xhigh" reasoning effort for Qwen3.8-27B is actually insane.

Qwen3.8-27B 模型在 "x-high" 推理强度设置下表现出显著的性能提升

作者 PulseAugur 编辑部 · [3 个来源] ·

Reddit 的 r/LocalLLaMA 社区的一位用户对 Qwen3.8-27B 模型在不同 "推理强度" 设置下的性能进行了非正式比较。测试表明，"x-high" 设置显著提高了生成的 SVG 的视觉保真度，产生的质量评分更高，但生成时间是 "low" 设置的七倍左右。在速度和输出质量方面，"low" 和 "medium" 设置表现相似，而 "x-high" 导致推理 token 数量急剧增加。 AI

影响 Qwen3.8-27B 等模型中更高的推理强度设置可以提高输出质量，但处理时间会显著增加，这会影响用户针对特定任务的选择。

排序理由 用户对开源模型的参数调整进行的基准测试。

在 r/LocalLLaMA 阅读 →

AI 生成摘要 · Google Gemini · 来自 3 个来源。 我们如何撰写摘要 →

Qwen3.8-27B 模型在 "x-high" 推理强度设置下表现出显著的性能提升

本文如何被排名

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Research
用户对开源模型的参数调整进行的基准测试。
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Multiple independent publishers reporting the same story raises confidence that it's real and newsworthy.
Topics
model release
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
32 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.
Coverage growth since scoring
+1 source(s) since last score
New sources have picked up this story since our last re-score. Score will update on the next scoring pass.

完整方法见我们的编辑标准。

报道来源 [3]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/alanoo ·

    为什么 Qwen 3.8 27b 没有“高”推理能力？

    <!-- SC_OFF --><div class="md"><p>The gap between &quot;medium&quot; and the default &quot;xhigh&quot; is ridiculously huge. Medium barely thinks, xhigh... well there has already been many posts about that.</p> <p>The naming itself seems to point out that there should have been a…

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

    Qwen3.8 27B 推理能力 低/中/高 比较

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1vpuh7m/qwen38_27b_reasoning_effort_lowmediumxhigh/"> <img alt="Qwen3.8 27B reasoning effort low/medium/xhigh comparison" src="https://preview.redd.it/fkbx5qf41qjh1.png?width=140&amp;height=113&amp;auto=webp&a…

  3. r/LocalLLaMA TIER_1 English(EN) · /u/SarcasticBaka ·

    Qwen3.8-27B 的 "medium" 和 "xhigh" 推理难度差异简直是疯了。

    <!-- SC_OFF --><div class="md"><p>I'm currently testing out Qwen3.8-27B using Unsloth's UD-Q4_K_XL running a freshly rebuilt llama.cpp. I have a 22GB RTX 2080TI on which I'm able to fit 100k context with q8_0 quantization, and using MTP with --spec-draft-n-max 4 I get about 40tk/…

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