DeepSeek

What it does

DeepSeek is a Chinese AI model family and chat assistant developed by DeepSeek. Available through a web app, mobile app, API, and open-weight model releases. Its strongest positioning is low-cost API usage, long-context reasoning, coding, math/STEM, agentic tasks, and open-weight model deployment.

As of May 2026, DeepSeek’s current API lineup focuses on DeepSeek-V4-Pro and DeepSeek-V4-Flash. Both support 1M-token context, thinking / non-thinking modes, JSON output, tool calls, chat prefix completion, and FIM completion. The older deepseek-chat and deepseek-reasoner names are routed to V4-Flash and are scheduled for deprecation.

DeepSeek’s main differentiator is combining very aggressive pricing with strong open-model performance. It does not have a mature official marketplace like Claude Skills or GPT Store; instead, its strength is API compatibility, open weights, backend-model integration with agent tools, and low-cost inference.

Models

DeepSeek-V4-Pro is positioned as the flagship model with 1.6T total / 49B active parameters. It is DeepSeek’s strongest model for agentic coding, world knowledge, math, STEM, and reasoning. DeepSeek-V4-Flash uses 284B total / 13B active parameters and is the faster, more economical option.

Cache-hit input pricing is extremely low: $0.0028/M for V4-Flash and $0.003625/M for V4-Pro.

Pricing

• Free Chat ($0) — free web and mobile usage via DeepSeek Chat
• API — V4 Flash — $0.14/M input, $0.28/M output
• API — V4 Pro — $0.435/M input, $0.87/M output
• Enterprise / Self-hosted — open weights, private deployment, custom inference infrastructure

DeepSeek does not primarily promote a universal consumer monthly plan like ChatGPT Plus or Claude Pro. Its commercial model is centered on API usage and open-weight models.

Capabilities

• 1M-token long context
• Thinking and non-thinking modes
• Coding, math, STEM, and reasoning
• Agentic coding and tool-use scenarios
• OpenAI-compatible and Anthropic-compatible API
• JSON output and tool calls
• FIM completion and chat prefix completion
• Context caching
• Self-hosted deployment through open weights

Strengths

• Very low API cost compared with frontier models
• Makes 1M context standard across official V4 models
• Open weights enable self-hosting and private deployment
• Strong performance for coding, math, STEM, and agentic tasks
• Easy migration through OpenAI/Anthropic API compatibility
• Cache-hit pricing is extremely cheap for high-volume products

Weaknesses

• Native image, audio, or video generation is not part of the core DeepSeek product
• No mature official ecosystem like Claude Skills, GPT Store, or Cursor marketplace
• Consumer app limits are less transparent than API pricing
• Enterprise use may raise data, regulatory, and geopolitical concerns
• Migration is required from legacy model names to V4 model IDs
• Developer experience is strong, but productized workflows are fewer than Western competitors

Ecosystem

DeepSeek’s ecosystem is built more around models, APIs, and open weights than packaged end-user extensions like Claude Skills or Cursor rules.

DeepSeek API works with OpenAI and Anthropic formats. This makes it possible to use DeepSeek as a backend model inside existing OpenAI SDKs, Anthropic-compatible tools, coding agents, and third-party agent systems.

DeepSeek V4 Open Weights provide V4-Pro and V4-Flash releases on Hugging Face for private deployment, research, and self-hosted usage.

Agent integrations let DeepSeek act as the backend model for compatible agent and coding tools such as Claude Code, GitHub Copilot, OpenCode, and similar systems. This makes DeepSeek less of a direct marketplace product and more of a powerful, low-cost model layer underneath many agent workflows.