DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning (arXiv 2501.12948) 20 Jan 2025
Capabilities
- AIME 2024 70
- MATH-500 94.5
- GPQA Diamond 65.2
- LiveCodeBench 57.5
- Codeforces rating 1633
DeepSeek-R1-Distill-Llama-70B ranks first on BigO(Bench).
Open weights
Its best score on each benchmark, and where that ranks among every model with a score there. We rank each model once, at its best setting.
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| MATH Level 5 | 89.9% | #17 of 94 | Epoch AI | |
| PolyMath | 29.4% | #21 of 38 | Official leaderboard | |
| Misguided Attention | 42.6% | #26 of 45 | Official leaderboard | |
| OTIS Mock AIME 2024-2025 | 51.4% | #125 of 202 | Epoch AI | |
| GPQA Diamond | 55.7% | #136 of 219 | Epoch AI | |
| MATH-500 | 94.5% | #42 of 67 | Model card | |
| AIME 2024 | 70% | #63 of 87 | Model card | |
| AIME 2025 | 55% | #43 of 53 | Official leaderboard | |
| HMMT 2025 | 33.3% | #43 of 53 | Official leaderboard | |
| SMT 2025 | 60.9% | #37 of 40 | Official leaderboard | |
| BRUMO 2025 | 66.7% | #41 of 42 | Official leaderboard |
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| BigO(Bench) | 41.4% | #1 of 18 | Official leaderboard | |
| LiveCodeBench | 57.5% | #35 of 73 | Model card | |
| BigCodeBench | 42.6% | #41 of 69 | Official leaderboard | |
| BigCodeBench-Hard | 20.3% | #59 of 96 | Official leaderboard | |
| Codeforces rating | 1,633 | #36 of 41 | Model card | |
| SWE-PolyBench | 5.31% | #6 of 6 | Official leaderboard |
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| BaxBench | 5.94% | #29 of 34 | Official leaderboard |
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| LiveBench | 54.5% | #19 of 48 | Epoch AI |
Every result in the longer documents the lab published with it. 5 of them aren't in the launch post.