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Artificial Analysis launches CritPt v2, a revised physics benchmark run with code execution

AIArtificial Analysis has launched CritPt v2, a revised research-level physics benchmark after its authors reviewed all 70 challenges and corrected errors and typos. Models now run agentically, writing and executing code in an offline sandbox.

AIWhy it matters.

The source shows how the revised benchmark, now run with a code-execution tool, changes scores and ranks frontier models on research-level physics problems.

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CritPt v2 has launched on Artificial Analysis: the CritPt authors have reviewed all 70 research-level physics challenges, and models now solve them with a code-execution tool

Following feedback from the research community, the CritPt team and physics expert collaborators reviewed every challenge, corrected underspecified statements, errors, and typos, and improved the stability of the grader. We now run CritPt v2 agentically: models can write and run code in an offline sandbox with tools for computation.

We’ll be updating the Intelligence Index in late October, including changes to CritPt.

Key takeaways:

➤ Recent OpenAI releases top the leaderboard: GPT-6 Astra (max) and GPT-6.1 Sol (max) score highest at 83% and 82%, followed by Claude Opus 5.5 (max with fallback) at 78% and GPT-5.6 Sol (max) at 75%

➤ CritPt v2 shows the rapid progress at the frontier on research-level physics: GPT-5 (high), released in August 2025, scores 29% on CritPt v2, 54 points below GPT-6 Astra (max)

Thank you to @MiniHui_zhu, @MinyangTian1, @haopeng_uiuc and the broader CritPt team for their work on this revision and their continued collaboration

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Original title: CritPt v2 has launched on Artificial Analysis: the CritPt authors have reviewed all 70 research-level physics challenges, and models now ...