DeepSeek: R1 Distill Qwen 32B
deepseek/deepseek-r1-distill-qwen-32b
Description
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.
How this model compares
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Price (per 1M tokens)
Min
Max
This model
339 models in this groupPrice (per 1M tokens)
- Min
- $0.04
- Avg
- $12.395447
- Max
- $750.00
This model: $0.29 / 1M tokens
Context length (tokens)
Min
Max
This model
339 models in this groupContext length (tokens)
- Min
- 4,095 tokens
- Avg
- 379,884.782 tokens
- Max
- 10,000,000 tokens
This model: 128,000 tokens
Capabilities
Text → TextContext: 32,768 tokens
Input:
Text
Output:
Text