MATH-500
MATH-500 is a subset of the MATH dataset containing 500 challenging competition mathematics problems from AMC 10, AMC 12, AIME, and other mathematics competitions. Each problem includes full step-by-step solutions and spans multiple difficulty levels across seven mathematical subjects including Prealgebra, Algebra, Number Theory, Counting and Probability, Geometry, Intermediate Algebra, and Precalculus.
LongCat-Flash-Thinking from Meituan currently leads the MATH-500 leaderboard with a score of 0.992 across 32 evaluated AI models.
LongCat-Flash-Thinking leads with 99.2%, followed by 
Sarvam-105B at 98.6% and 
GLM-4.5 at 98.2%.
Progress Over Time
Interactive timeline showing model performance evolution on MATH-500
MATH-500 Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | Meituan | 560B | — | — | ||
| 2 |  Sarvam AI | 105B | — | — | ||
| 3 | Zhipu AI | 355B | — | — | ||
| 4 | Zhipu AI | 106B | — | — | ||
| 5 |  NVIDIA | 9B | — | — | ||
| 6 |  Moonshot AI | 1.0T | — | — | ||
| 6 | Moonshot AI | 1.0T | — | — | ||
| 8 | Sarvam AI | 30B | — | — | ||
| 8 | 253B | — | — | |||
| 10 | Meituan | 69B | 256K | $0.10 / $0.40 | ||
| 10 |  MiniMax | 456B | — | — | ||
| 12 | 50B | — | — | |||
| 13 | Meituan | 560B | 128K | $0.30 / $1.20 | ||
| 14 |  Anthropic | — | — | — | ||
| 14 | Moonshot AI | — | — | — | ||
| 16 | MiniMax | 456B | — | — | ||
| 17 |  DeepSeek | 671B | — | — | ||
| 18 | 8B | — | — | |||
| 19 |  Microsoft | 4B | — | — | ||
| 20 | DeepSeek | 71B | — | — | ||
| 21 | DeepSeek | 33B | — | — | ||
| 22 | DeepSeek | 671B | 164K | $0.28 / $1.14 | ||
| 23 | DeepSeek | 15B | — | — | ||
| 24 | DeepSeek | 8B | — | — | ||
| 25 |  Alibaba Cloud / Qwen Team | 33B | — | — | ||
| 25 | Alibaba Cloud / Qwen Team | 33B | — | — | ||
| 27 | DeepSeek | 671B | — | — | ||
| 28 |  OpenAI | — | — | — | ||
| 29 | DeepSeek | 8B | — | — | ||
| 30 | DeepSeek | 2B | — | — | ||
| 31 | 8B | — | — | |||
| 31 | 8B | — | — |
FAQ
Common questions about MATH-500.
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