DeepSeek: R1 Distill Qwen 32B

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

Released Jan 29, 202532,768 context

$0.29/M input tokens$0.29/M output tokens

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 DeepSeek R1's outputs, enabling competitive performance comparable to larger frontier models.

Providers for R1 Distill Qwen 32B

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Performance for R1 Distill Qwen 32B

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Effective Pricing for R1 Distill Qwen 32B

Actual cost per million tokens across providers over the past hour

Apps using R1 Distill Qwen 32B

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Total usage per day on OpenRouter

Prompt

31.3M

Reasoning

20.1M

Completion

-834,000

Prompt tokens measure input size. Reasoning tokens show internal thinking before a response. Completion tokens reflect total output length.

Uptime stats for R1 Distill Qwen 32B

Uptime stats for R1 Distill Qwen 32B across all providers

Sample code and API for R1 Distill Qwen 32B

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