DeepSeek's AI assistant and low-cost LLM API with Flash and Pro models, 1M-token context, tool calls and OpenAI- and Anthropic-compatible endpoints.
DeepSeek is an AI company based in Hangzhou, China, that develops large language models and offers them two ways: a chat assistant on the web and in the DeepSeek app, and a developer API. The assistant handles everyday tasks such as answering questions, writing and explaining code, and reasoning through problems, with a "deep thinking" mode and web search. The API exposes the same model family for developers who want to build applications, agents and data workflows.
For data and AI learners, the main draw is the API. It follows the OpenAI and Anthropic API formats, so code and tools written for those providers can switch to DeepSeek by changing the base URL, API key and model name. Combined with low per-token prices, that makes it a practical choice for practicing prompt engineering, retrieval-augmented generation (RAG) and agent projects without a large bill.
API usage is billed per million tokens from a prepaid balance. Two models are offered: deepseek-flash (currently served by DeepSeek-V4.1-Flash) and deepseek-v4-pro. At peak rates, deepseek-flash costs $0.30 per 1M input tokens on a cache miss, $0.006 on a cache hit, and $1.20 per 1M output tokens; deepseek-v4-pro costs $1.32, $0.044 and $3.96 respectively. Off-peak rates are half the peak rates: peak hours are 01:00–04:00 and 06:00–10:00 UTC on weekdays, and all other hours, weekends included, are off-peak. Search and Fetch API calls cost $0.75 per 1,000 successful requests each. DeepSeek notes that prices may change, so check the pricing page before budgeting a project.
DeepSeek suits learners and developers who want an inexpensive LLM API for prototypes, coursework, RAG experiments and agents, and teams that already use OpenAI- or Anthropic-style SDKs and want a lower-cost alternative for some workloads. The long context window helps when you need to pass large documents to the model.
A human still needs to check the output. Like any LLM, DeepSeek can produce confident but wrong answers, so facts, numbers and code should be reviewed and tested. Organizations with strict rules on where data is processed should review DeepSeek's terms and data handling before sending sensitive or customer data.
Pros
Cons
How much does the DeepSeek API cost? It is billed per million input and output tokens, with cheaper cached input and half-price off-peak hours. See the official pricing page for current rates.
Is it compatible with the OpenAI SDK? Yes. Set the base URL to DeepSeek's endpoint and use your DeepSeek API key.
Which model should I start with? deepseek-flash is cheaper and supports vision; deepseek-v4-pro costs more per token.
What are the main alternatives? OpenAI, Anthropic Claude and Google Gemini APIs, plus open-weight models you host yourself.
Top up a small API balance and run one RAG or extraction script to see how DeepSeek's quality and cost compare for your use case.
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