DeepSeek-R1: Revolutionary Reasoning-Focused Language Model
Experience breakthrough AI technology with superior reasoning capabilities in mathematics, programming, and complex problem-solving
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Try DeepSeek-R1's Advanced Reasoning Capabilities
Hello! I am DeepSeek-R1, an advanced reasoning-focused AI assistant. How can I help you today?
Key Features
Discover DeepSeek-R1's revolutionary reasoning capabilities
Advanced Reasoning
Revolutionary reinforcement learning approach enabling sophisticated reasoning behaviors including self-verification and reflection
- •Natural reasoning development
- •Self-verification capability
- •Extended chain of thought
- •Multi-step problem solving
Mathematical Excellence
Outstanding performance in mathematical tasks with 79.8% accuracy on AIME 2024 and 97.3% on MATH-500
- •Complex mathematical reasoning
- •Competition-level problem solving
- •Step-by-step solutions
- •Proof generation
Programming Expertise
Expert-level programming capabilities with 2029 Elo rating on Codeforces, surpassing 96.3% of human participants
- •Multi-language support
- •Algorithm optimization
- •Code analysis
- •Engineering solutions
Multi-Stage Training
Comprehensive training strategy combining reinforcement learning with supervised fine-tuning
- •Cold start phase
- •Reasoning-oriented RL
- •Data filtering
- •All-scenario optimization
Knowledge Integration
Exceptional performance on knowledge-based tests with 90.8% on MMLU and 84.0% on MMLU-Pro
- •Comprehensive knowledge base
- •Cross-domain understanding
- •Factual accuracy
- •Regular updates
Model Distillation
Successfully distilled reasoning capabilities into smaller, more accessible models
- •Multiple model sizes
- •Preserved capabilities
- •Efficient deployment
- •Resource optimization
DeepSeek-R1 in the Media
Setting new standards in AI reasoning capabilities
Mathematical Excellence
DeepSeek-R1 achieves groundbreaking 79.8% accuracy on AIME 2024 mathematics competition problems and 97.3% on MATH-500.
Programming Mastery
With a 2029 Elo rating on Codeforces, DeepSeek-R1 demonstrates expert-level programming capabilities, surpassing 96.3% of human participants.
Innovative Training
Revolutionary pure reinforcement learning approach enables natural development of sophisticated reasoning behaviors.
DeepSeek-R1 in Action
Watch how DeepSeek-R1 tackles complex reasoning challenges
DeepSeek R1 - o1 Performance, Completely Open-Source
See DeepSeek-R1's exceptional performance in mathematics, programming, and complex problem-solving tasks.
DeepSeek-R1 Performance Metrics
Language Understanding
Programming & Engineering
Mathematical Reasoning
Technical Specifications
Explore the revolutionary training approach and capabilities of DeepSeek-R1
DeepSeek-R1 Training Process
Revolutionary reinforcement learning approach for natural reasoning development
DeepSeek-R1 Research
Pioneering advances in reasoning-focused language models
Pure RL Innovation
Revolutionary approach using pure reinforcement learning to develop natural reasoning behaviors without supervised fine-tuning
Multi-Stage Training
Comprehensive training strategy combining cold start, reasoning-oriented RL, data filtering, and all-scenario optimization
Technical Paper
Read our comprehensive technical paper detailing DeepSeek-R1's revolutionary training approach and benchmark-leading performance.
Read the PaperAbout DeepSeek
Pioneering the future of reasoning-focused AI
Company Background
DeepSeek leads innovation in AI reasoning capabilities through revolutionary reinforcement learning approaches and open collaboration.
Research Infrastructure
Our advanced research infrastructure enables breakthrough developments in AI reasoning capabilities and model training methodologies.
Download DeepSeek-R1 Models
Choose from our range of reasoning-focused models
DeepSeek-R1 Base Model
Pure reinforcement learning trained foundation model
- •Natural reasoning development
- •Self-verification capability
- •Extended chain of thought
- •Multi-step problem solving
DeepSeek-R1 Distilled Models
Efficient models with preserved reasoning capabilities
- •Preserved reasoning abilities
- •Resource efficient
- •Multiple size options
- •Deployment flexibility
Installation Instructions
Choose your preferred model version:
# For Base Model
git lfs install
git clone https://huggingface.co/deepseek-ai/DeepSeek-R1
# For Zero Model
git lfs install
git clone https://huggingface.co/deepseek-ai/DeepSeek-R1-ZeroDeepSeek-R1 Deployment Options
DeepSeek-R1 Model Distillation
Access smaller, efficient models with preserved reasoning capabilities
- Multiple model sizes
- Preserved reasoning abilities
- Efficient resource usage
DeepSeek-R1 Cloud Integration
Deploy on cloud platforms with optimized performance
- Scalable infrastructure
- Enterprise integration
- High availability
DeepSeek-R1 Local Deployment
Run locally with our optimized inference framework
- Flexible deployment
- Resource optimization
- Custom configuration
How to Use DeepSeek-R1
Start exploring advanced reasoning capabilities in three simple steps
Choose Your Task
Select the type of problem you want to solve - from mathematics to programming
Describe Your Problem
Clearly explain your problem or question to DeepSeek-R1
Review the Solution
DeepSeek-R1 will provide a detailed solution with step-by-step reasoning
FAQ
Learn more about DeepSeek-R1
What makes DeepSeek-R1 unique?
DeepSeek-R1 is unique in its pure reinforcement learning approach, which naturally developed sophisticated reasoning behaviors including self-verification and extended chain of thought capabilities.
How does DeepSeek-R1 perform in mathematical tasks?
DeepSeek-R1 achieves exceptional performance in mathematics, with 79.8% accuracy on AIME 2024 and 97.3% on MATH-500, demonstrating advanced reasoning capabilities.
What are DeepSeek-R1's programming capabilities?
DeepSeek-R1 demonstrates expert-level programming skills with a 2029 Elo rating on Codeforces, surpassing 96.3% of human participants.
Are there smaller versions of DeepSeek-R1 available?
Yes, through successful model distillation, we offer smaller models that preserve DeepSeek-R1's core reasoning capabilities while being more resource-efficient.
How was DeepSeek-R1 trained?
DeepSeek-R1 uses a multi-stage training approach, starting with pure reinforcement learning (DeepSeek-R1-Zero), followed by comprehensive fine-tuning and optimization stages.
What types of problems can DeepSeek-R1 solve?
DeepSeek-R1 excels in complex reasoning tasks, including mathematical proofs, competitive programming, and knowledge-based problems, achieving high scores across various benchmarks.
How does DeepSeek-R1 compare to other models?
DeepSeek-R1 achieves performance comparable to leading models, with superior results in mathematical reasoning (AIME, MATH-500) and programming tasks (Codeforces).
What are the future development plans for DeepSeek-R1?
We're focusing on enhancing capabilities in function calling, multi-turn dialogue, and complex role-playing, while improving reinforcement learning efficiency in various tasks.
Get Started with DeepSeek-R1
Try DeepSeek-R1 API
Access DeepSeek-R1's advanced reasoning capabilities through our developer-friendly API
Start BuildingExplore Research
Learn about our revolutionary reinforcement learning approach and technical innovations
View ResearchTry DeepSeek-R1 Chat
Experience our advanced reasoning capabilities through interactive chat
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