DeepSeek-R1-Distill-Qwen-7B
DeepSeek-R1-Distill-Qwen-7B is an AI model published by DeepSeek-AI, released on 2025-01-20, for Reasoning model, with 7B parameters, and 128K context length, requiring about 14GB storage, under the MIT License license, with a 91.40 score on MATH-500.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Model basics
Open source & experience
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API details
Benchmark Results
DeepSeek-R1-Distill-Qwen-7B currently shows benchmark results led by AIME 2024 (45 / 62, score 53.30), MATH-500 (32 / 44, score 91.40), GPQA Diamond (158 / 182, score 49.50). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
Math and Reasoning
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Model Overview
DeepSeek-R1-Distill-Qwen-7B is an AI model published by DeepSeek-AI, released on 2025-01-20, for Reasoning model, with 7B parameters, and 128K context length, requiring about 14GB storage, under the MIT License license, with a 91.40 score on MATH-500.
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