math benchmark
TheoremQA
A theorem-driven question answering dataset containing 800 high-quality questions covering 350+ theorems from Math, Physics, EE&CS, and Finance. Designed to evaluate AI models' capabilities to apply theorems to solve challenging university-level science problems.
Updated Aug 11, 2026
Models6
Model coverage6
MetricScore
EvidenceB
TheoremQA Ranking
Higher score ranks better on this benchmark.
| 1 | AC | 44.4% | 100.0% | 6 | C | |
| 2 | AC | 44.1% | 80.0% | 6 | C | |
| 3 | AC | 43.1% | 60.0% | 6 | C | |
| 4 | AC | 43.0% | 40.0% | 6 | C | |
| 5 | AC | 34.0% | 20.0% | 6 | C | |
| 6 | AC | 25.3% | 0.0% | 6 | C |
TheoremQA Score Distribution
A closer view of the leading scores on this benchmark.
TheoremQA Highlights
The leading models and scores on this benchmark.
What is TheoremQA?
What TheoremQA measures and how its scores work.
A theorem-driven question answering dataset containing 800 high-quality questions covering 350+ theorems from Math, Physics, EE&CS, and Finance. Designed to evaluate AI models' capabilities to apply theorems to solve challenging university-level science problems.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- TheoremQA
- Modality
- text
- Primary category
- math
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- theoremqa|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about TheoremQA.
Which model scores highest on TheoremQA?
Qwen2 72B Instruct is currently ranked first with 44.4%.
What does TheoremQA measure?
A theorem-driven question answering dataset containing 800 high-quality questions covering 350+ theorems from Math, Physics, EE&CS, and Finance. Designed to evaluate AI models' capabilities to apply theorems to solve challenging university-level science problems.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
6 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.