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A general assistant for reasoning, writing, and coding with free web and app access.
免费
按量计费
Official sources
Verified:September 5, 2026
DevPrice organizes public information and does not sell DeepSeek subscriptions. Prices and availability are determined by DeepSeek.
DeepSeek is a general AI assistant for reasoning, writing, and coding, available through web and mobile interfaces as well as a developer API. Individuals can use the conversational product for analysis, drafting, code explanation, and document review, while developers can integrate related models into their own applications. The consumer product and API therefore have different usage and pricing models.
On the web and in the app, users can enable deeper reasoning or web search, upload files for follow-up questions, and continue conversations across devices. It is useful for Chinese-language work, structured reasoning, long-content summaries, and programming assistance, but search results and generated conclusions can still be wrong and should be checked against primary sources when the outcome matters.
The DeepSeek API supports chat, reasoning output, structured JSON responses, and tool calls for customer support, retrieval, content processing, and automated workflows. API usage is metered by input and output tokens, while context caching can reduce the cost of repeated prefixes. Current model availability, limits, and prices should be confirmed on the official documentation and pricing page.
Deeper reasoning can be enabled for analysis, mathematics, and coding tasks so the model spends more effort before answering. Users should still validate assumptions and consequential conclusions.
For current questions, the assistant can search public web sources and organize the findings. Original pages remain important for checking recency, context, and material figures.
Users can upload documents, extract their text, and ask for summaries, explanations, comparisons, or follow-up analysis, making longer reports easier to work through.
Signed-in users can access past conversations on web and mobile, which helps continue a complex task over several sessions without restating all of the context.
Developers can call the models through a familiar chat interface and combine structured JSON output, tool calling, and context caching in their own product workflows.