Jina DeepSearch
Deep search API for complex questionsSearch, read, and reason across the web
Highlights
What you can do with it
- Calling the API to work through complex problems that need multi-hop reasoning
- Helping researchers collect the latest academic information
- Letting enterprise users pull real-time information to support decisions
How to use it
- 1 Visit jina.ai/deepsearch, register, and get an API key
- 2 Pick the right endpoint, such as the Deep Search API or the Vector Model API
- 3 Use an OpenAI Chat API compatible client or your own tool to call it
- 4 Set parameters like model ID, reasoning depth, and streaming responses
- 5 Send the request, monitor token usage, and recharge when needed
Who it is for
Pros
- OpenAI Chat API compatibility lowers integration work
- Iterative search and reasoning handles layered questions
- Real-time access reduces reliance on outdated training data
- Several endpoints and key tiers fit testing and production
Limitations
- Token-based billing means costs rise with heavy use
- Full access beyond the free trial requires a paid subscription
- Calling the API requires development skills and setup time
- Answer quality depends on upstream search and source availability
What Jina DeepSearch is
Jina DeepSearch is a deep search product built around web search, reading, and reasoning. Instead of returning a list of links, it runs repeated search and reasoning loops to investigate a question, reads what it finds, and adjusts its next step based on current findings. It can retrieve real-time information, so answers are not limited to pre-trained data. The service is fully compatible with the OpenAI Chat API and offers multiple API endpoints for different needs. Pricing is based on token usage, with free trials and paid subscription tiers available, so you can test the workflow before committing budget.
What you can do with it
- Call the API to work through complex problems that need multi-hop reasoning
- Gather the latest academic or market information for research
- Build search and question answering features into your own applications
- Choose endpoints and key tiers that match development or production needs
Who it is for
- Researchers who need current sources rather than stale training data
- Developers who want to add deep search to an app without building it from scratch
- Enterprise users who need fresh information to support decisions
What to watch out for
Usage is billed by tokens, so costs grow with volume, and full access requires a paid subscription beyond the free trial. Calling the API takes development work, including authentication, parameter setup, and monitoring token consumption. Answer quality also depends on upstream search results, which can vary by topic and language. If you rely on it in production, plan for auto recharge so service is not interrupted. For best results, start with a small test file and review the output carefully before working on anything important.
FAQ
Is Jina DeepSearch free?
It offers a free trial and paid subscription tiers. Usage is billed by tokens, so heavy use moves onto paid plans.
Can I use it with my existing tools?
Yes. It is fully compatible with the OpenAI Chat API, so clients that support that format can call it directly.
What makes it different from a normal search engine?
It runs several search and reasoning loops, reads the results, and adjusts its next step, which suits complex multi-hop questions.
Why it is free
What the official page says： 免费试用免费
Free limits, trial length and features are decided by the official site and can change at any time.
Product preview
Screenshot archived from the listing page, for preview only.
