English(EN) RT @zainhas: PSA: For everyone using GLM-5.3 you probably want to use this model in reasoning_effort="high" mode.

Together AI 发布 GLM-5.3，在基准测试中成本更低地匹配 Fable 5

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-29 00:51

Together AI 发布了 GLM-5.3，这是一个开源模型，在 GLM-5.2 的基础上增强了编码和长时代理能力。该模型以其代币效率而闻名，其“高”推理模式在 50k 代币下表现良好。GLM-5.3 被定位为一种经济高效的替代方案，在基准测试中的表现几乎与 Fable 5 相当。 AI

影响为编码和代理任务提供了一种经济高效的开源替代方案，可能影响竞争格局。

排序理由知名 AI 实验室发布的开源模型。[lever_c_demoted from frontier_release: 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: 17 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Significant; 知名 AI 实验室发布的开源模型。[lever_c_demoted from frontier_release: 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, product; 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。

X — Together (inference / OSS) TIER_1 English(EN) · togethercompute · 2026-08-29 00:51

RT @zainhas: 公告：对于所有使用 GLM-5.3 的用户，你们可能想在 reasoning_effort="high" 模式下使用此模型。

RT @zainhas: PSA: For everyone using GLM-5.3 you probably want to use this model in reasoning_effort="high" mode. > "max" - 34% for 77k to…