DeepSeek-R1
by DeepSeek
Advanced AI reasoning model achieving frontier performance at a fraction of the cost
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About
DeepSeek-R1 is an open-source reasoning model that shocked the AI industry by demonstrating GPT-4-level capabilities at dramatically lower training costs. Using novel reinforcement learning for reasoning techniques, DeepSeek-R1 shows its thinking process step-by-step before arriving at answers — making it particularly powerful for mathematics, coding, scientific analysis, and complex multi-step problem solving.
The model's release in January 2025 sent shockwaves through AI markets, briefly wiping over $600 billion from NVIDIA's market cap as investors questioned whether massive GPU investments were necessary for frontier AI. DeepSeek proved that highly efficient training approaches could produce frontier-class models at a fraction of the compute cost, challenging assumptions about the economics of AI development.
DeepSeek-R1 is available in multiple sizes from 1.5B to 671B parameters, with distilled versions capable of running on consumer hardware. Its open weights, MIT license, and OpenAI-compatible API make it an attractive option for businesses seeking powerful AI capabilities without dependence on closed-source providers.
The model's release in January 2025 sent shockwaves through AI markets, briefly wiping over $600 billion from NVIDIA's market cap as investors questioned whether massive GPU investments were necessary for frontier AI. DeepSeek proved that highly efficient training approaches could produce frontier-class models at a fraction of the compute cost, challenging assumptions about the economics of AI development.
DeepSeek-R1 is available in multiple sizes from 1.5B to 671B parameters, with distilled versions capable of running on consumer hardware. Its open weights, MIT license, and OpenAI-compatible API make it an attractive option for businesses seeking powerful AI capabilities without dependence on closed-source providers.
Product Features
- Chain-of-thought reasoning with visible thinking process
- State-of-the-art math and coding benchmark performance
- Open weights with MIT license for commercial use
- Multiple sizes: 1.5B to 671B parameters
- Distilled versions for consumer hardware deployment
- OpenAI API-compatible interface
- Strong multilingual capabilities
- Competitive with GPT-4 and Claude 3 Opus
- DeepSeek Chat interface for free use
- API access at significantly lower cost than competitors
- State-of-the-art math and coding benchmark performance
- Open weights with MIT license for commercial use
- Multiple sizes: 1.5B to 671B parameters
- Distilled versions for consumer hardware deployment
- OpenAI API-compatible interface
- Strong multilingual capabilities
- Competitive with GPT-4 and Claude 3 Opus
- DeepSeek Chat interface for free use
- API access at significantly lower cost than competitors
About the Publisher
DeepSeek is a Chinese AI research company founded in 2023 by Liang Wenfeng, who also co-founded the quantitative hedge fund High-Flyer Capital. Based in Hangzhou, China, DeepSeek has released a series of increasingly capable open-source models that have repeatedly surprised the global AI community. The company operates with a research-first philosophy, publishing detailed technical papers alongside model releases. DeepSeek's efficient training methods have influenced thinking about the economics and approach to frontier AI development globally.