IMO-AnswerBench
IMO-AnswerBench is a benchmark for evaluating mathematical reasoning capabilities on International Mathematical Olympiad (IMO) problems, focusing on answer generation and verification.
DeepSeek-V4-Pro-Max from DeepSeek currently leads the IMO-AnswerBench leaderboard with a score of 0.898 across 14 evaluated AI models.
DeepSeek-V4-Pro-Max leads with 89.8%, followed by DeepSeek-V4-Flash-Max at 88.4% and 
Kimi K2.6 at 86.0%.
Progress Over Time
Interactive timeline showing model performance evolution on IMO-AnswerBench
IMO-AnswerBench Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 |  DeepSeek | 1.6T | 1.0M | $1.74 / $3.48 | ||
| 2 | DeepSeek | 284B | 1.0M | $0.14 / $0.28 | ||
| 3 | Moonshot AI | 1.0T | 262K | $0.95 / $4.00 | ||
| 4 |  StepFun | 196B | 66K | $0.10 / $0.40 | ||
| 5 |  Zhipu AI | 754B | 200K | $1.40 / $4.40 | ||
| 5 |  Alibaba Cloud / Qwen Team | — | 1.0M | $0.50 / $3.00 | ||
| 7 | Zhipu AI | 358B | 205K | $0.60 / $2.20 | ||
| 8 | Moonshot AI | 1.0T | 262K | $0.60 / $3.00 | ||
| 9 | Alibaba Cloud / Qwen Team | 397B | 262K | $0.60 / $3.60 | ||
| 10 | Alibaba Cloud / Qwen Team | 28B | 262K | $0.60 / $3.60 | ||
| 11 | Alibaba Cloud / Qwen Team | 35B | — | — | ||
| 12 | Moonshot AI | 1.0T | — | — | ||
| 12 |  Meituan | 560B | 128K | $0.30 / $1.20 | ||
| 14 | DeepSeek | 685B | 164K | $0.26 / $0.38 |
FAQ
Common questions about IMO-AnswerBench.
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