DeepSeek: R1 Distill Qwen 14B by deepseek | Mume AI
R1 Distill Qwen 14B
DeepSeek R1 Distill Qwen 14B is a distilled large language model based on [Qwen 2.5 14B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B), 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.
Other benchmark results include:
- AIME 2024 pass@1: 69.7
- MATH-500 pass@1: 93.9
- CodeForces Rating: 1481
The model leverages fine-tuning from DeepSeek R1's outputs, enabling competitive performance comparable to larger frontier models.
by Deepseek|64K context|$0.15/M input tokens|$0.15/M output tokens
Endpoints
Available providers for this model, with details on pricing, context limits, and real-time health metrics.