DeepSeek: R1 Distill Qwen 14B

deepseek/deepseek-r1-distill-qwen-14b

Created Jan 29, 202564,000 context

$0.15/M input tokens$0.15/M output tokens

DeepSeek R1 Distill Qwen 14B is a distilled large language model based on Qwen 2.5 14B, 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: 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.

DeepSeek: R1 Distill Qwen 14B

deepseek/deepseek-r1-distill-qwen-14b

Created Jan 29, 202564,000 context

$0.15/M input tokens$0.15/M output tokens

DeepSeek R1 Distill Qwen 14B is a distilled large language model based on Qwen 2.5 14B, 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: 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.

Sample code and API for R1 Distill Qwen 14B

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