DeepSeek: R1 Distill Qwen 32B (free)
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. 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.
Parameters
32B
Context Window
16,000
tokens
Input Price
$0
per 1M tokens
Output Price
$0
per 1M tokens
Capabilities
Model capabilities and supported modalities
Performance
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Strong mathematical capabilities, handles complex calculations well
Specialized in code generation with excellent programming capabilities
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Modalities
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