English(EN) Qwen-Next seems worse to me then 3.8 27b for coding, but I feel like I must be missing something?

用户质疑 Qwen-Next 的编码性能与 3.8 27B 的对比

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-12 00:05

Reddit r/LocalLLaMA 版块的一名用户正在质疑 Qwen-Next 相对于另一款模型“3.8 27B”的实际性能，尤其是在编码任务方面。尽管阅读了关于 Qwen-Next 的正面评价，但用户发现“3.8 27B”在复杂的编码挑战方面能力更强。用户还对阿里巴巴发布 Qwen 模型表示赞赏。 AI

影响用户对模型能力的反馈为编码任务的实际性能提供了见解。

排序理由用户对模型性能的意见，而非主要发布或基准测试。

在 r/LocalLLaMA 阅读 →

模型发布

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 3 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Commentary; 用户对模型性能的意见，而非主要发布或基准测试。
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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: Breaking (< 6h); Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

r/LocalLLaMA TIER_1 English(EN) · /u/lots_of_puppies · 2026-09-12 00:05

Qwen-Next 在编码方面似乎不如 3.8 27b，但我感觉我可能遗漏了什么？

<div class="md"><p>Hi! I run both models on MTPLX on my m5 max, and since I have 128GB of ram I run the q8 27b. I think MTPLX only lets me run "optimized for speed" which it says is a dynamic q4 with 8 bit attention. </p> <p>Both of them honestly are very…

本文如何被排名

报道来源 [1]

Qwen-Next 在编码方面似乎不如 3.8 27b，但我感觉我可能遗漏了什么？

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