English(EN) Cognition's SWE-2 achieves 92.8 on Terminal-Bench 2.1 https:// tokenstead.ai/models/swe-2 # ai

Cognition 的 SWE-2 模型在 Terminal-Bench 2.1 上得分 92.8

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-10 17:23

Cognition 的 SWE-2 模型在 Terminal-Bench 2.1 基准测试中取得了 92.8 分。这一性能指标突显了该模型在特定评估环境中的能力。 AI

影响为特定评估中的 AI 模型设定了新的基准分数。

排序理由该集群报告了 AI 模型的基准分数，属于研究范畴。[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; 该集群报告了 AI 模型的基准分数，属于研究范畴。[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。