DeepSeek-R1: Chinese AI's Next Generation Reasoning Model

Revolutionary Chinese AI model trained with pure reinforcement learning. DeepSeek-R1 delivers state-of-the-art performance in reasoning, mathematics, and coding - now with MIT license for unlimited commercial use.

Why Choose DeepSeek-R1 for AI Development

Cost-Effective Performance

27x cheaper than OpenAI-o1 with comparable performance - only $0.55/M input tokens and $2.19/M output tokens

True Open Source

MIT licensed for complete freedom - use, modify, and commercialize without restrictions

Transparent Reasoning

Access both chain-of-thought reasoning process and final answers in API responses

Distilled Options

Access to 32B and 70B parameter versions matching OpenAI-o1-mini performance

Advanced Capabilities of DeepSeek-R1

64K Context Window

Process longer documents and conversations with extended context support

OpenAI-Compatible API

Easy integration with existing OpenAI-based applications and workflows

Streaming Support

Real-time response streaming for interactive applications

Multi-Round Chat

Maintain context across multiple conversation turns for natural interactions

Powerful Use Cases of DeepSeek-R1

Explore the Versatility of DeepSeek-R1

Complex Problem Solving

Excel at mathematical calculations, coding challenges, and logical reasoning tasks

Research & Analysis

Process and analyze complex documents with chain-of-thought reasoning

Education & Training

Create detailed explanations and step-by-step solutions for learning

AI Development

Build and train your own models with the open-source architecture

FAQ About DeepSeek-R1

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What makes DeepSeek-R1's training unique?

DeepSeek-R1 uses a groundbreaking 5-stage training process combining pure reinforcement learning with cold-start data, rejection sampling, and fine-tuning - achieving o1-level performance without extensive labeled data.

How does the pricing compare to other models?

DeepSeek-R1 is approximately 27 times cheaper than OpenAI-o1, with rates of $0.55/million for input tokens and $2.19/million for output tokens. Cache hits are even cheaper at $0.14/million tokens.

What are the technical limitations?

While supporting a 64K context window, the current API version doesn't support function calling or JSON outputs. Some parameters like temperature and top_p are also not available.

How can I access the model's reasoning process?

The API provides both reasoning_content and content in responses, allowing you to see both the chain-of-thought process and final answers.

What are the available model sizes?

Besides the main model, DeepSeek-R1 offers distilled 32B and 70B parameter versions that match OpenAI-o1-mini performance, suitable for different deployment needs.

Is there a free trial available?

Yes, you can test DeepSeek-R1 on their free platform at chat.deepseek.com before getting an API key for integration.

Experience the Future of AI Reasoning