MathEval
Benchmark large models' mathematical abilities across diverse problem sets.
- Status
- UnmaintainedNo commits in 696 days.
- Last checked
- Checked · Oct 12, 2026
- License
- Proprietary
- Pricing
- Paid
What it is
MathEval is a comprehensive benchmarking platform designed to evaluate the mathematical capabilities of large models. It covers over 20 fields and includes nearly 30,000 math problems for thorough assessment.
MathEval stands out by offering a vast and diverse set of mathematical problems, making it ideal for comprehensive benchmarking across various fields.
When it fits — and when it doesn’t
A good fit for
Research teams needing detailed benchmarking across a wide range of mathematical problems
Developers looking to validate the performance of their AI models on specific math tasks
Look elsewhere if
Projects requiring real-time evaluation or low-latency responses
Teams with limited budgets for model evaluation tools
Known weaknesses
Each one links to the public issue, changelog or docs page it came from, where we have one.
- 01
Expensive at scale due to proprietary licensing
Commercial pricing model increases costs significantly as usage scales up
What it does well
Comprehensive coverage across 20 mathematical fields
Nearly 30,000 math problems for evaluation
Detailed performance metrics and reports
Pricing
- Free tier
- No
- Paid from
- —
- Model
- Flat rate
- Enterprise plan
- No
Pricing not independently confirmed — check the vendor’s page.
Performance benchmarks
How Fast Is It?
Set up MathEval
Setup steps, common gotchas and what to check after 30 days.