MathEval
Benchmark large models' mathematical abilities across diverse problem sets.
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Aging · Jun 8, 2026Overview
What is MathEval?
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.
Key differentiator
“MathEval stands out by offering a vast and diverse set of mathematical problems, making it ideal for comprehensive benchmarking across various fields.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Primary SDK is in Python, with no official support for other languages
Commercial pricing model increases costs significantly as usage scales up
Fit analysis
Who is it for?
✓ Best 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
✕ Not a fit for
Projects requiring real-time evaluation or low-latency responses
Teams with limited budgets for model evaluation tools
Cost structure
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Performance benchmarks
How Fast Is It?
Ecosystem
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Next step
Get Started with MathEval
Step-by-step setup guide with code examples and common gotchas.