DeepSeek-R1 is DeepSeek's latest generation open-source reasoning model released in January 2025, featuring 671B parameters. As the first open-source model to approach OpenAI o1's reasoning capabilities, DeepSeek-R1 achieves breakthrough performance in complex reasoning tasks through reinforcement learning, reaching world-class levels in mathematics, coding, and scientific reasoning.
Core Features
- Top-tier Reasoning: Approaches or exceeds OpenAI o1 in multiple reasoning benchmarks
- Fully Open Source: 671B parameter model weights completely open
- RL Training: Significantly enhanced reasoning through reinforcement learning
- Visible Chain-of-Thought: Detailed reasoning steps shown in generation
- Multi-domain Excellence: Leading in math, programming, science, logic reasoning
- Distilled Versions: Multiple smaller distilled models for easier deployment
Performance Benchmarks
- AIME 2024: 79.8% (approaching o1 level)
- MATH-500: 97.3% (best among open-source)
- Codeforces: 96.3% (Div.2 level)
- HumanEval: 98.0%+
- GPQA Diamond: 71.5%
Model Series
- DeepSeek-R1 (671B): Full model, strongest reasoning
- R1-Distill (32B/14B/8B/1.5B): Retains 80%+ capability, consumer hardware compatible
Use Cases
- Mathematical problem solving
- Complex programming and algorithms
- Scientific research reasoning
- Logical analysis and decision making
- Educational tutoring with detailed steps
Deployment
- Cloud: DeepSeek API, major cloud providers
- Local Full (671B): 8x A100 80GB minimum
- Distill-32B: 2x RTX 4090
- Distill-8B: Single RTX 4090
License
- MIT License: Fully open for commercial use
- Model Weights: Completely open for download
- Research Friendly: Encouraged for academic research
Summary
DeepSeek-R1 represents a major breakthrough in open-source AI reasoning, achieving near-o1 reasoning capabilities with 671B parameters. Through innovative RL training and comprehensive model distillation, it provides both a powerful research baseline and deployable high-performance reasoning solution, significantly advancing the democratization of AI reasoning technology.
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