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Omni-MATH benchmark
AI model leaderboard for the Omni-MATH benchmark. Compare how large language models score on Omni-MATH, see the full ranking, and understand what this AI benchmark measures. DeepSeek-R1 currently leads with 85. Comprehensive olympiad-level mathematics benchmark covering 33 sub-domains and 10 difficulty tiers.
Leaderboard
Frequently asked questions about Omni-MATH
What is the Omni-MATH benchmark?
Comprehensive olympiad-level mathematics benchmark covering 33 sub-domains and 10 difficulty tiers.
How is the Omni-MATH benchmark scored?
Omni-MATH is scored using the accuracy metric, where a higher score is better. GenAIList aggregates reported scores from model providers and papers into a single ranked leaderboard.
Which AI model scores highest on Omni-MATH?
As of the latest reported scores on GenAIList, DeepSeek-R1 achieves the highest result on Omni-MATH with a score of 85.
Is a higher Omni-MATH score better?
Yes. On Omni-MATH a higher score indicates better performance, so models near the top of the leaderboard are the strongest.