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DeepSeek R1 Zero
DeepSeek · open weight · deepseek-r1-zero
DeepSeek-R1-Zero, a model trained via large-scale reinforcement learning (RL) without supervised fine-tuning (SFT) as a preliminary step, demonstrated remarkable performance on reasoning. With RL, DeepSeek-R1-Zero naturally emerged with numerous powerful and interesting reasoning behaviors. However, DeepSeek-R1-Zero encounters challenges such as endless repetition, poor readability, and language mixing. To address these issues and further enhance reasoning performance, we introduce DeepSeek-R1, which incorporates cold-start data before RL. DeepSeek-R1 achieves performance comparable to OpenAI-o1 across math, code, and reasoning tasks.
Benchmark scores
| Benchmark | Score |
|---|---|
| MATH-500 | 0.96 |
| AIME 2024 | 0.87 |
| GPQA | 0.73 |
| LiveCodeBench | 0.50 |
Pricing
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AA metrics
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