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Favicon for deepseek

DeepSeek: R1 Distill Qwen 32B

deepseek/deepseek-r1-distill-qwen-32b

Model weights

DeepSeek R1 Distill Qwen 32B is a distilled large language model based on Qwen 2.5 32B(opens in new tab), using outputs from 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.

Modalities

Context

128K

Released

Jan 29, 2025

Knowledge Cutoff

Jul 2024

ActivityFAQ

Activity

Token volume and request traffic to this model over time.

About DeepSeek: R1 Distill Qwen 32B

OpenRouter makes DeepSeek: R1 Distill Qwen 32B available through a unified, OpenAI-compatible API using the model ID deepseek/deepseek-r1-distill-qwen-32b.

DeepSeek: R1 Distill Qwen 32B accepts text and returns text. It has a 128,000-token context window.

It was released on January 29, 2025; its knowledge cutoff is July 31, 2024.

More models from DeepSeek

  • DeepSeek V4 Pro 0813
  • DeepSeek V4 Flash 0731
  • DeepSeek V4 Pro 0423

Frequently asked questions

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.\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...

R1 Distill Qwen 32B has a 128,000 token context window.

DeepSeek V4 Pro 0813, DeepSeek V4 Flash 0731, DeepSeek V4 Pro 0423 and 9 more are other text models from DeepSeek.

R1 Distill Qwen 32B was released on January 29, 2025. Its knowledge cutoff is July 31, 2024.