physics benchmark
GPQA
A challenging dataset of 448 multiple-choice questions written by domain experts in biology, physics, and chemistry. Questions are Google-proof and extremely difficult, with PhD experts reaching 65% accuracy.
Updated Aug 11, 2026
Models100
Model coverage234
MetricScore
EvidenceC
GPQA Ranking
Higher score ranks better on this benchmark.
GPQA Score Distribution
A closer view of the leading scores on this benchmark.
GPQA Highlights
The leading models and scores on this benchmark.
What is GPQA?
What GPQA measures and how its scores work.
A challenging dataset of 448 multiple-choice questions written by domain experts in biology, physics, and chemistry. Questions are Google-proof and extremely difficult, with PhD experts reaching 65% accuracy.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of C.
- Family
- GPQA
- Modality
- text
- Primary category
- physics
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- gpqa|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about GPQA.
Which model scores highest on GPQA?
Claude Mythos Preview is currently ranked first with 94.6%.
What does GPQA measure?
A challenging dataset of 448 multiple-choice questions written by domain experts in biology, physics, and chemistry. Questions are Google-proof and extremely difficult, with PhD experts reaching 65% accuracy.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
100 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.