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DeepSeek R1 Distill Qwen 32B is a distilled large language model based on [Qwen 2.5 32B](https://huggingface.co/Qwen/Qwen2.5-32B), using outputs from [DeepSeek R1](/deepseek/deepseek-r1). It outperforms OpenAI's o1-mini across various benchmarks, achieving new state-of-the-art results for dense models.\n\nOther benchmark results include:\n\n- AIME 2024 pass@1: 72.6\n- MATH-500 pass@1: 94.3\n- CodeForces Rating: 1691\n\nThe model leverages fine-tuning from DeepSeek R1's outputs, enabling competitive performance comparable to larger frontier models.
| Signal | Strength | Weight | Impact |
|---|---|---|---|
| Capabilitiesjust now | 50 | 30% | +15.0 |
| Output Capacityjust now | 75 | 15% | +11.3 |
| Context Windowjust now | 72 | 15% | +10.7 |
| Recencyjust now | 57 | 15% | +8.5 |
| Pricingjust now | 0 | 25% | +0.1 |
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Cost Estimator
You save $39.07/month vs category average