AI · AI model
DeepSeek-R1
Open-source reasoning model rivaling proprietary models in math, code, and logic
DeepSeek-R1 is an open-source reasoning model developed using reinforcement learning to generate explicit chain-of-thought outputs. Built on a mixture-of-experts architecture with 671B total parameters (37B active), it performs on par with proprietary reasoning models like OpenAI o1. It is accessible for free via DeepSeek's web chat and app, available via API, and released under an MIT license alongside smaller distilled variants.
What it's for
- Solve multi-step mathematical problems and formal proofs
- Debug and generate complex software code across various programming languages
- Perform deep logical reasoning and step-by-step analytical reasoning tasks
- Distill reasoning datasets to train smaller, lightweight open-source models
Features
- Reinforcement learning-driven chain-of-thought reasoning with internal reflection tokens
- 671B total parameter mixture-of-experts (MoE) architecture with 37B active parameters
- 128k context length with output support up to 32k tokens
- Open MIT license permitting commercial use, fine-tuning, and data distillation
- Distilled smaller models available in 1.5B, 7B, 8B, 14B, 32B, and 70B sizes
- OpenAI-compatible API support via DeepSeek Platform
Pricing
Open source. Free to use via web chat and mobile app; pay-as-you-go API; model weights are free under MIT license.
Details
- Type
- AI model
- Category
- AI
- Topic
- Reasoning Models
- Open source
- Yes
- Platforms
- Web, iOS, Android, API, Self-hosted
- For
- Developers, AI researchers, and students needing deep reasoning capabilities for math, code, and logic.
- Alternative to
- OpenAI o1, OpenAI o1-mini, Claude 3.5 Sonnet
- Tags
- deepseek, reasoning, llm, open source, mixture of experts, coding, mathematics
Why it was saved
- @JulianGoldieSEO: The tweet promises a tutorial on automating anything with it; free access via deepseek.com.
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