DeepSeek: R1 Distill Qwen 32B
- 128K Context
- 0.12/M Input Tokens
- 0.18/M Output Tokens
- DeepSeek
- Text 2 text
- 07 Feb, 2025
DeepSeek R1 Distill Qwen 32B is a distilled large language model based on Qwen 2.5 32B, using outputs from DeepSeek R1. It outperforms OpenAI’s o1-mini across various benchmarks, achieving new state-of-the-art results for dense models.
Other benchmark results include:
- AIME 2024 pass@1: 72.6
- MATH-500 pass@1: 94.3
- CodeForces Rating: 1691
The model leverages fine-tuning from DeepSeek R1’s outputs, enabling competitive performance comparable to larger frontier models.