Open-weights frontier reasoning models (DeepSeek-V3 & R1) powered by 671B MoE and Multi-Head Latent Attention.
Technical Overview & Architecture
DeepSeek is an open-source AI research lab and frontier model developer known for DeepSeek-V3 (671B parameter Mixture-of-Experts) and DeepSeek-R1 (reinforcement learning reasoning model with explicit <think> chain-of-thought). Engineered with Multi-Head Latent Attention (MLA), DeepSeekMoE (37B active parameters per token), and DualPipe parallelism, DeepSeek delivers SOTA coding, mathematical reasoning, and general inference at a fraction of proprietary API costs (zsh.14-zsh.55/1M input, .19/1M output), with full self-hosting support via vLLM, SGLang, and Ollama.
Pricing Breakdown
Transparent tiers and feature allotments for engineering teams.
DeepSeek-V3 API
- 671B MoE base model
- 128K context
- OpenAI compatible
DeepSeek-R1 API
- Reasoning model with <think> trace
- Math & code SOTA
- 128K context
Self-Hosted / Local
- Full weights on Hugging Face
- vLLM, SGLang, Ollama support
- Zero cloud dependency
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