English(EN) SWE-rebench leaderboard update: GLM-5.2, Qwen3.6-27B, Qwen3.6-35B-A3B, Gemma 4 31B and more + improved UI

SWE-rebench 排行榜新增 Claude Opus 4.8、GLM-5.2、Gemini 3.5 Flash

作者 PulseAugur 编辑部 · [1 个来源] · 2026-07-01 14:53

SWE-rebench 排行榜已更新，新增了模型并改进了用户界面，使得在编码任务上比较 AI 性能更加容易。值得注意的新增模型包括 Claude Opus 4.8 xhigh、GLM-5.2 和 Gemini 3.5 Flash，以及多个 Qwen 和 DeepSeek 模型。此次更新还突出了本地和自托管模型的测试结果，鼓励社区就接下来要测试哪些模型提供意见。 AI

影响为编码代理提供了更新的基准测试，影响开发任务的模型选择。

排序理由排行榜更新，包含新的模型结果和用户界面改进。[lever_c_demoted from research: ic=1 ai=1.0]

在 r/LocalLLaMA 阅读 →

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

SWE-rebench 排行榜新增 Claude Opus 4.8、GLM-5.2、Gemini 3.5 Flash

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: Tool; 排行榜更新，包含新的模型结果和用户界面改进。[lever_c_demoted from research: ic=1 ai=1.0]
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: product, 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: 98 days old; Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

报道来源 [1]

r/LocalLLaMA TIER_1 English(EN) · /u/Fabulous_Pollution10 · 2026-07-01 14:53

SWE-rebench 排行榜更新：GLM-5.2、Qwen3.6-27B、Qwen3.6-35B-A3B、Gemma 4 31B 等 + UI 改进

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1uknx14/swerebench_leaderboard_update_glm52_qwen3627b/"> <img alt="SWE-rebench leaderboard update: GLM-5.2, Qwen3.6-27B, Qwen3.6-35B-A3B, Gemma 4 31B and more + improved UI" src="https://external-preview.redd.…

本文如何被排名

报道来源 [1]

SWE-rebench 排行榜更新：GLM-5.2、Qwen3.6-27B、Qwen3.6-35B-A3B、Gemma 4 31B 等 + UI 改进

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