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💬 AI Chat & Assistants Freemium 👥 96M+
Best for: Open-source reasoning, long-context, low-cost API
⚖️ Compare DeepSeek vs ChatGPT

About DeepSeek

DeepSeek is a conversational AI assistant from the Chinese lab of the same name. You can talk to it for free at chat.deepseek.com, or build on top of it through a metered API that charges per million tokens. It handles general chat, coding, reasoning, and long-document work.

The current generation is DeepSeek-V4, whose preview launched on April 24, 2026 and replaced the older V3/R1 family. It ships in two tiers: V4-Pro (1.6 trillion total parameters, 49 billion active) aimed at competing with top closed-source models, and the cheaper default V4-Flash (284 billion total, 13 billion active). The legacy deepseek-chat and deepseek-reasoner model names are being deprecated on July 24, 2026.

Key capabilities include a new DeepSeek Sparse Attention (DSA) mechanism with token-wise compression for better efficiency, a standard 1M-token context window with output up to 384K tokens, and explicit agentic optimizations, including integration with agent tools such as Claude Code.

On pricing, the web chat is free. The API is paid, per 1M tokens: V4-Flash costs $0.14 input on a cache miss ($0.0028 on a cache hit) and $0.28 output; V4-Pro costs $0.435 input on a cache miss ($0.003625 on a cache hit) and $0.87 output. The legacy names map to V4-Flash's non-thinking and thinking modes.

Limitations to keep in mind: the API is a metered, paid service rather than free access, some third-party reports of a free token grant for new accounts are not confirmed in official documentation, and as a China-based service it may raise data-residency or compliance questions for some organizations.

DeepSeek suits developers who want a strong, low-cost model API, and casual users who want a capable free web assistant without a subscription.

Last updated: 2026-07-09
Advantages
  • Free, full-featured web chat at chat.deepseek.com with no subscription
  • Very low API pricing, especially V4-Flash at $0.14/$0.28 per 1M tokens
  • Large 1M-token context window with output up to 384K tokens
  • Two tiers let you trade cost for capability (V4-Flash vs V4-Pro)
  • Agentic optimizations including integration with tools like Claude Code
Disadvantages
  • API is paid and metered, not free access
  • Rumored free token grant for new accounts is unconfirmed in official docs
  • Legacy deepseek-chat/deepseek-reasoner names deprecate on 2026-07-24, forcing migration
  • China-based hosting may raise data-residency and compliance concerns
  • V4-Pro is notably more expensive than the Flash default

Choose DeepSeek if…

  • You want a capable AI chat for free via the web
  • You need a low-cost API for coding or high-volume tasks
  • You work with very long documents and need a 1M-token context
  • You are building agentic workflows with tools like Claude Code
  • You want to choose between a cheap fast tier and a stronger premium tier

Frequently Asked Questions

Is DeepSeek better than ChatGPT?
DeepSeek R1 matches or exceeds GPT-o1 on reasoning and math benchmarks — at a fraction of the cost. For pure text reasoning and coding, DeepSeek is competitive with the best models. ChatGPT has more features (images, voice, plugins) and better ecosystem support.
Is DeepSeek safe to use?
DeepSeek is a Chinese company (Hangzhou DeepSeek AI). Some organizations have concerns about data privacy under Chinese law. The model weights are open-source and can be run locally to avoid data sharing. US government agencies and some enterprises have restricted its use.
Is DeepSeek free?
Yes. DeepSeek chat at chat.deepseek.com is free with no usage limits on the web interface. The API is also very cheap — around $0.14 per million input tokens for DeepSeek V3, compared to $2.50 for GPT-4o mini.
What is DeepSeek R1?
DeepSeek R1 is DeepSeek's reasoning model, released January 2025. It uses chain-of-thought reasoning similar to OpenAI o1 and achieved comparable benchmark scores. It shocked the AI industry by matching frontier model performance at dramatically lower training and inference costs.
Also consider
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Claude
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