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MathEval

by Community

a comprehensive benchmarking platform designed to evaluate large models' mathematical abilities across 20 fields and nearly 30,000 math problems.

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MathEval

Added 1 June 2026

Overview

MathEval is a benchmarking platform for evaluating large models on mathematical problems. It covers 20 fields and nearly 30,000 problems, providing a standardized test suite for assessing mathematical reasoning.

Best for

Best for
Researchers and developers benchmarking mathematical reasoning in large models.

Use cases

  • Benchmarking LLMs on mathematical reasoning across diverse fields
  • Comparing model performance on a standardized set of nearly 30,000 problems
  • Evaluating fine-tuned models for math-specific capabilities

Notes

MathEval is a benchmarking platform for evaluating large models on mathematical problems. It covers 20 fields and nearly 30,000 problems, providing a standardized test suite for assessing mathematical reasoning.

Use cases

  • Benchmarking LLMs on mathematical reasoning across diverse fields
  • Comparing model performance on a standardized set of nearly 30,000 problems
  • Evaluating fine-tuned models for math-specific capabilities

Pros

  • Large benchmark with nearly 30,000 problems for robust evaluation
  • Covers 20 distinct mathematical fields for broad assessment
  • Community-driven platform encouraging transparency and collaboration

Cons

  • Limited to mathematical abilities, not a general benchmark
  • Problem selection may not represent all math subfields equally
  • No built-in model or training component, evaluation only

Indexed from awesome-llm and enriched against its public facts.

Pros

  • Large benchmark with nearly 30,000 problems for robust evaluation
  • Covers 20 distinct mathematical fields for broad assessment
  • Community-driven platform encouraging transparency and collaboration

Cons

  • Limited to mathematical abilities, not a general benchmark
  • Problem selection may not represent all math subfields equally
  • No built-in model or training component, evaluation only

Pairs with

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