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CritPt v2 (agentic, avg@5)

Science

CritPt v2 is the CritPt authors' revision of the dataset: its 70 research-level physics challenges, reviewed with physics expert collaborators to correct underspecified statements, errors and typos. Artificial Analysis runs it agentically in its Stirrup harness, in an offline Linux sandbox with Python 3.13 (numpy, scipy, sympy, matplotlib) and at most 50 turns, using the authors' one-step prompt for models with code tools; the authors' grading server scores each repeat, and the reported pass@1 is the mean over five repeats per challenge. Scores are not comparable with the tool-free CritPt v1.

Top models (higher is better)

ModelScore
GPT-6 Astra83.7
GPT-6.1 Sol82.0
GPT-6.1 Terra79.4
Claude Opus 5.578.9
Gemini 4 Carbon78.9
Claude Fable 5.176.9
GPT-5.6 Sol74.9
Claude Sonnet 5.574.0
Muse Wonder Full73.1
Gemini 4 Argon72.9
Muse Wonder69.7
Kimi K3.1 Pro68.0
Muse Spark 1.366.9
Claude Haiku 5.564.6
GPT-6 Luna64.6
Gemini 3.8 Flash64.0
Kimi K361.4
Grok 4.760.9
GLM-5.357.4
Ling 3.1 Flash 101957.1
MiMo-V2.6-Pro56.9
Step 5 Preview54.6
Muse Spark Open51.4
Qwen3.8 Max (0902)50.9
MiniMax M3.1 Flash50.6
MiMo-V2.6-Flash50.3
DeepSeek V4.1 Flash 101750.0
DeepSeek V4 Pro 081345.7
MiniMax M344.6
Mistral Large 4 Preview43.4
Beam 1.0 501B A23B40.0
Nemotron 3.5 Super VL 120B A12B (precision unspecified)36.9
Inkling-Small34.0
K2 Horizon 375B A23B29.7
Inkling29.4
GPT-528.9
Nemotron 3 Ultra 550B A55B28.9
Muse Glimmer 30B24.3
Qwen3.8 27B24.0
Gemini 3.5 Flash-Lite16.0
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