MATH

mathematicsPending Human Review

A dataset of 12,500 challenging competition mathematics problems requiring multi-step reasoning.

Published: 2021
Score Range: 0-100
Top Score: 96.2

MATH Leaderboard

RankModelProviderScoreParametersReleasedType
1Claude 3.7 SonnetAnthropic
96.2
2025-02-24Multimodal
2o1OpenAI
94.8
2024-09-12Multimodal
3Gemini 2.0 ProGoogle
91.8
2025-02-05Multimodal
4Gemini 2.0 FlashGoogle
90.9
2025-02-25Multimodal
5DeepSeek-V3DeepSeek
90.2
671B total, 37B activated2024-12-26Text
6Gemini 2.0 Flash-LiteGoogle
86.8
2025-02-25Multimodal
7Nemotron 3 NanoNVIDIA
82.88
31.6B (Total), ~3.2B (Active)2025-12-15Text
8GPT-4oOpenAI
76.6
2024-05-13Multimodal
9Grok-2xAI
76.1
Unknown2024-08-13Multimodal
10Grok-2 minixAI
73
Unknown2024-08-13Multimodal

About MATH

Methodology

MATH evaluates model performance using a standardized scoring methodology. Scores are reported on a scale of 0 to 100, where higher scores indicate better performance. For detailed information about the scoring system and methodology, please refer to the original paper.

Publication

This benchmark was published in 2021.Technical Paper

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