Deepseek R1
Free online access to the revolutionary open-source AI model for advanced reasoning
About
DeepSeek R1 Online is a platform providing access to the DeepSeek R1 AI model, an open-source AI model for advanced reasoning. It offers both free and no-login access. DeepSeek R1 is designed for complex problem-solving, multilingual understanding, and production-grade code generation. It utilizes a Mixture of Experts (MoE) architecture and advanced reinforcement learning techniques to achieve high performance in mathematics, coding, and general reasoning tasks. The platform also provides access to distilled versions of the model for various
Details
DeepSeek R1 Online is a platform providing access to the DeepSeek R1 AI model, an open-source AI model for advanced reasoning. It offers both free and no-login access. DeepSeek R1 is designed for complex problem-solving, multilingual understanding, and production-grade code generation. It utilizes a Mixture of Experts (MoE) architecture and advanced reinforcement learning techniques to achieve high performance in mathematics, coding, and general reasoning tasks. The platform also provides access to distilled versions of the model for various
How to Use
The website allows users to chat with DeepSeek R1 and V3 directly online. It also provides access to DeepSeek R1 WEBGPU Online, which runs locally in the browser with WebGPU acceleration. Users can test the model directly on the website.
DeepSeek R1 Online's
Key Features
- Access to DeepSeek R1 and V3 models
- WebGPU-accelerated in-browser inference
- OpenAI-compatible API endpoint
- Distilled model variants for commercial use
- Chain-of-Thought visualization
Use Cases
- Advanced mathematical reasoning and problem-solving
- Production-grade code generation and debugging
- Complex multi-step reasoning tasks requiring self-verification
- Multilingual natural language understanding
- Educational tool for learning AI reasoning patterns
- Cost-efficient alternative to proprietary models for developers and enterprises
Pros & Cons
Pros
- Completely free to use on the web with no login required
- Open-source under MIT license allowing modification and commercial use
- Outperforms OpenAI o1 in math and coding benchmarks at a fraction of the cost
- API pricing 90-95% lower than OpenAI o1
- Chain-of-Thought visualization improves interpretability
- Runs locally in browser with WebGPU for privacy-sensitive tasks
Cons
- Full 671B model requires significant server infrastructure; local version is limited to 1.5B parameters
- Multimodal support and conversational enhancements are still on the roadmap
- Third-party platform; not the official DeepSeek service
- API context limited to 64K tokens for the reasoner model (128K for context window but max COT tokens 32K)
Frequently Asked Questions
How does DeepSeek R1 compare to OpenAI o1 in pricing?
DeepSeek R1 costs 90-95% less than OpenAI o1. For input tokens, DeepSeek R1 charges $0.14 (cache hit) to $0.55 (cache miss) per million tokens, while OpenAI o1 charges $15. For output tokens, DeepSeek R1 charges $2.19 per million tokens versus OpenAI o1's $60.
Is DeepSeek R1 open source?
Yes, DeepSeek R1 is MIT-licensed with full model weights available on GitHub. It allows free use, modification, and commercialization.
What model variants are available?
DeepSeek R1 comes in multiple variants: the base R1-Zero, enhanced R1, and six distilled versions ranging from 1.5B to 70B parameters (based on Qwen2.5 and Llama architectures).
Can I run DeepSeek R1 locally in my browser?
Yes, the website offers DeepSeek R1 WEBGPU Online using the 1.5B distilled model. It runs entirely in your browser with WebGPU acceleration via Transformers.js and ONNX Runtime Web, requiring no server data transfer and even working offline once loaded.