English(EN) Opus 5 setting new SoTA on ProgramBench, solves 9/200 instances (>4x than GPT Sol)

Anthropic 的 Opus 5 在 ProgramBench 上设定新的 SoTA，击败 GPT Sol

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-13 16:23

Anthropic 的 Opus 5 模型在 ProgramBench 基准测试中取得了新的最先进性能，成功解决了 200 个任务实例中的 9 个。这比之前的最佳模型 GPT Sol 提高了四倍多。在这一基准上评估 Opus 5 的成本相当高，花费了 10,000 美元。 AI

影响为代理程序合成设定了新的基准，可能影响未来代码生成模型的发展。

排序理由特定基准上的研究里程碑。[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: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 特定基准上的研究里程碑。[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, 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: 52 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。

r/Anthropic TIER_1 English(EN) · /u/klieret · 2026-08-13 16:23

Opus 5 在 ProgramBench 上设定新的 SoTA，解决了 9/200 个实例（>GPT Sol 的 4 倍）

<table> <tr><td> <a href="https://www.reddit.com/r/Anthropic/comments/1vnfhla/opus_5_setting_new_sota_on_programbench_solves/"> <img alt="Opus 5 setting new SoTA on ProgramBench, solves 9/200 instances (>4x than GPT Sol)" src="https://preview.redd.it/lccofwq346jh1.png?width=14…