DeepSeek-R1-Zero
DeepSeek · 2025-01-20 · 684.5B parameters
DeepSeek-R1-Zero is the reinforcement-learning-only reasoning checkpoint DeepSeek released alongside DeepSeek-R1 on January 20, 2025: GRPO applied directly to DeepSeek-V3-Base with rule-based accuracy and format rewards and no supervised fine-tuning stage. It shares R1's architecture, and its downloadable checkpoint contains exactly 684,489,845,504 parameters including one multi-token-prediction module, which DeepSeek rounds to 671B total and 37B activated. DeepSeek reports poor readability and language mixing in its outputs, which R1's cold-start and later stages were designed to fix.
Benchmark scores
| Benchmark | Score |
|---|---|
| Aider Polyglot | 12.2 |
| AlpacaEval 2.0 (length-controlled win rate) | 24.7 |
| Arena-Hard-Auto v0.1 | 53.6 |
| C-Eval | 92.8 |
| Capability | 129.2 |
| Chinese SimpleQA | 66.4 |
| CLUEWSC | 93.1 |
| CNMO 2024 | 88.1 |
| Codeforces - DeepSeek-reported competitor percentile | 80.4 |
| Codeforces - DeepSeek-reported expected rating | 1444 |
| DROP | 89.1 |
| FRAMES | 82.3 |
| IFEval | 46.6 |
| LiveCodeBench - August 2024 to February 2025 | 50.0 |
| MATH-500 | 95.9 |
| MMLU | 88.8 |
| MMLU Pro | 68.9 |
| MMLU-Redux | 85.6 |
| SimpleQA | 30.3 |
| SWE-bench Verified | 43.2 |