DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning (arXiv 2501.12948) 20 Jan 2025
Capabilities
- AIME 2024 72.6
- MATH-500 94.3
- GPQA Diamond 62.1
- LiveCodeBench 57.2
- Codeforces rating 1691
DeepSeek-R1-Distill-Qwen-32B places in the top three 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 | |
|---|---|---|---|---|
| MathIF | 42.6% | #4 of 12 | Official leaderboard | |
| BIG-Bench Extra Hard | 19.2% | #6 of 11 | Official leaderboard | |
| ALRAGE | 61.7% | #26 of 39 | Official leaderboard | |
| AlGhafa | 46.5% | #29 of 39 | Official leaderboard | |
| AgentIF | 55.1% | #9 of 12 | Official leaderboard | |
| MadinahQA | 29.4% | #31 of 39 | Official leaderboard | |
| Open Arabic LLM Leaderboard v2 | 35.1% | #34 of 39 | Official leaderboard | |
| ArabicMMLU | 29.8% | #37 of 39 | Official leaderboard | |
| ArbMMLU-HT | 23.4% | #39 of 39 | Official leaderboard |
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| PolyMath | 35.1% | #17 of 38 | Official leaderboard | |
| GPQA Diamond | 64.1% | #121 of 219 | Epoch AI | |
| OTIS Mock AIME 2024-2025 | 55.6% | #121 of 202 | Epoch AI | |
| MATH-500 | 94.3% | #43 of 67 | Model card | |
| AIME 2024 | 72.6% | #56 of 87 | Model card | |
| AIME 2025 | 60% | #42 of 53 | Official leaderboard | |
| HMMT 2025 | 33.3% | #44 of 53 | Official leaderboard | |
| PHYBench | 11.7% | #26 of 28 | Official leaderboard | |
| SMT 2025 | 60.4% | #38 of 40 | Official leaderboard | |
| BRUMO 2025 | 68.3% | #40 of 42 | Official leaderboard |
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| BigO(Bench) | 41.1% | #2 of 18 | Official leaderboard | |
| BigCodeBench | 49.4% | #24 of 69 | Official leaderboard | |
| BigCodeBench-Hard | 26.4% | #38 of 96 | Official leaderboard | |
| LiveCodeBench | 57.2% | #36 of 73 | Model card | |
| Codeforces rating | 1,691 | #34 of 41 | Model card |
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| BALROG | 19.5% | #23 of 35 | Official leaderboard |
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| LiveBench | 45.5% | #32 of 48 | Epoch AI | |
| Political Science LLM Benchmark | 63.4% | #24 of 29 | Official leaderboard |
Every result in the longer documents the lab published with it. 5 of them aren't in the launch post.