
Open-source AI models with reasoning-first architecture at a fraction of the cost
DeepSeek is a Chinese AI research company that develops open-source large language models optimized for reasoning, coding, and mathematical problem-solving. Its flagship DeepSeek-V3.2 model offers 236 billion parameters with 64K context, OpenAI-compatible API, and pricing up to 95% cheaper than GPT-4 — making advanced AI accessible to developers, researchers, and startups on tight budgets.
236B parameter reasoning-first model with 64K context window, supporting both standard chat and extended thinking modes
Drop-in replacement for OpenAI API — switch by changing the base URL without rewriting code or changing SDKs
Chain-of-thought reasoning that shows its work step by step, excelling at complex math, logic, and multi-step problem solving
Purpose-built coding capabilities that debug, generate, and explain code across multiple programming languages
API pricing starts at $0.028/M tokens (cache hit) and $0.28/M (cache miss), with $0.42/M output — up to 95% cheaper than GPT-4
Completely free web and mobile chat application with no usage limits for individual users
Models released under permissive licenses, allowing self-hosting, fine-tuning, and custom deployment on your own infrastructure
Startups and developers building AI-powered products who need GPT-4-class reasoning at a fraction of the cost — ideal for prototyping and production workloads on tight budgets
Software engineers using DeepSeek for code generation, debugging, code review, and technical documentation across multiple programming languages
Researchers and students leveraging the strong mathematical reasoning and chain-of-thought capabilities for problem-solving, data analysis, and academic writing
Companies that need to run AI models on their own infrastructure for data sovereignty, compliance, or customization — DeepSeek's open-source models enable full control
Automatic caching reduces costs by 90% for repeated prompts and prefixes, making batch processing and agents significantly cheaper
Fill-in-the-middle code completion for IDE integrations and code editing workflows
Strong performance across English, Chinese, and other languages for global development teams
Building autonomous AI agents that require extended reasoning, tool use, and multi-step planning — context caching makes agent workflows dramatically cheaper

The world's fastest AI inference � 20x faster than GPU clouds