DeepSeek AI · General LLM

DeepSeek

A Chinese AI lab producing highly efficient open-source models that achieve frontier performance at a fraction of the training cost of competitors.

Overview

DeepSeek has gained significant attention for producing models that rival GPT-4 and Claude performance at dramatically lower training costs. DeepSeek-V2 introduced a multi-head latent attention mechanism and DeepSeekMoE architecture that substantially reduce inference costs. DeepSeek-Coder is among the top coding models, while DeepSeek-R1 demonstrates strong reasoning capabilities. The company's ability to achieve near-frontier results with efficient architectures has challenged assumptions about the compute required for top-tier AI performance.

Models

DeepSeek-V2, DeepSeek-Coder, DeepSeek-R1

Parameters

236B total, 21B active (V2, MoE)

Context Window

128K tokens

Architecture

MoE with multi-head latent attention

License

DeepSeek License (permissive for most uses)

Capabilities

Strong general reasoning competitive with frontier models

Advanced code generation and understanding

Efficient inference through architectural innovations

Mathematical problem solving and chain-of-thought reasoning

Multilingual support including Chinese and English

Use Cases

Cost-effective deployment of frontier-quality AI capabilities

Code generation and software development assistance

Mathematical reasoning and scientific computing tasks

Building AI applications requiring strong general intelligence

Pros

  • +Frontier-level performance at dramatically lower costs
  • +Innovative architecture reduces both training and inference costs
  • +Open weights available for self-hosting and research
  • +Strong coding and mathematical reasoning capabilities

Cons

  • -Chinese company may face geopolitical access restrictions
  • -Newer entrant with less established enterprise support
  • -Training data composition is less transparent
  • -May have content restrictions aligned with Chinese regulations

Pricing

DeepSeek API: $0.14/1M input tokens, $0.28/1M output tokens (V2). Among the most cost-effective frontier-class APIs available.

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