DeepSeek-R1

Name: DeepSeek-R1
Author: DeepSeek-AI

推理大模型

DeepSeek-R1

Release date: 2025-01-20更新于: 2025-03-21 11:14:181,680

Live demo

DeepSeek-R1 is an AI model published by DeepSeek-AI, released on 2025-01-20, for 推理大模型, with 6710.0B parameters, and 128K tokens context length, requiring about 134GB storage, under the MIT License license.

Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology

DeepSeek-R1

Model basics

Reasoning traces

Supported

Thinking modes

Thinking modes not supported

Context length

128K tokens

Max output length

No data

Model type

推理大模型

Release date

2025-01-20

Model file size

134GB

MoE architecture

Total params / Active params

671B / N/A

Knowledge cutoff

No data

DeepSeek-R1

Open source & experience

Code license

MIT License

Weights license

MIT License- 免费商用授权

GitHub repo

GitHub link unavailable

Hugging Face

https://huggingface.co/deepseek-ai/DeepSeek-R1

Live demo

No live demo

DeepSeek-R1

Benchmark Results

DeepSeek-R1 currently shows benchmark results led by MMLU (8 / 65, score 90.80), MMLU Pro (35 / 124, score 84), MATH-500 (13 / 44, score 97.30). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.