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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

On this page

  • Ranking
  • Distribution
  • Highlights
  • About
  • FAQ

TheoremQA Ranking

Higher score ranks better on this benchmark.

6 rows
Columns

Show columns

01ACQwen2 72B InstructAlibaba Cloud / Qwen Team44.4%100.0%6CAug 11, 2026
02ACQwen2.5 32B InstructAlibaba Cloud / Qwen Team44.1%80.0%6CAug 11, 2026
03ACQwen2.5-Coder 32B InstructAlibaba Cloud / Qwen Team43.1%60.0%6CAug 11, 2026
04ACQwen2.5 14B InstructAlibaba Cloud / Qwen Team43.0%40.0%6CAug 11, 2026
05ACQwen2.5-Coder 7B InstructAlibaba Cloud / Qwen Team34.0%20.0%6CAug 11, 2026
06ACQwen2 7B InstructAlibaba Cloud / Qwen Team25.3%0.0%6CAug 11, 2026

TheoremQA Score Distribution

A closer view of the leading scores on this benchmark.

TheoremQA

TheoremQA Highlights

The leading models and scores on this benchmark.

Rank #1Qwen2 72B Instruct44.4%Rank #2Qwen2.5 32B Instruct44.1%Rank #3Qwen2.5-Coder 32B Instruct43.1%Rank #4Qwen2.5 14B Instruct43.0%

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.