English(EN) Terminal Bench v4 scores

GLM-5.3 在 Terminal Bench v4 中领先，超越 Kimi-K3 及其他模型

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-11 10:19

Terminal Bench v4 基准测试结果显示，GLM-5.3 是表现最佳的开源模型，显著优于同类其他模型。GLM-5.3-Flash 在闪速模型中也处于领先地位，而 Kimi-K3 的表现与其规模相比不佳。Qwen3.8-27B 被认为是唯一能够在此基准上获得分数的模型。 AI

影响提供了对各种开源 LLM 的比较性能分析，突出了 GLM-5.3 的领先能力。

排序理由开源 LLM 的基准测试结果。[lever_c_demoted from research: ic=1 ai=1.0]

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: 10 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 开源 LLM 的基准测试结果。[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: 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。

r/LocalLLaMA TIER_1 English(EN) · /u/Ok_Warning2146 · 2026-09-11 10:19

Terminal Bench v4 分数

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1wdc7r9/terminal_bench_v4_scores/"> <img alt="Terminal Bench v4 scores" src="https://preview.redd.it/s9srsjey9voh1.png?width=640&crop=smart&auto=webp&s=94cf7d494a59baabc91f8aec26c86492f17ca16e" tit…