What is Jina DeepSearch API?

Jina AI DeepSearch API, a revolutionary tool designed to investigate your queries with the depth and reasoning of a human researcher. DeepSearch doesn't just skim the web; it dives deep, iteratively searching, reading, and reasoning to deliver comprehensive and trustworthy answers to your most challenging questions.

Key Features: Unlock Deeper Understanding

🧠 Iterative Search & Reasoning: Think Like a Researcher. DeepSearch goes beyond simple keyword matching. It acts as an autonomous research agent, continuously searching, reading, and reasoning through information. This iterative process allows it to explore your query from multiple angles and refine its understanding, just like a human expert would.
🔍 Expansive 500K Token Context: Tackle Complex Topics. Unlike standard LLMs that are limited in their processing capacity, DeepSearch boasts a massive 500,000 token window. This vast context allows it to handle intricate questions requiring thorough research and multi-step reasoning, delving into the nuances of complex subjects without losing sight of the bigger picture.
✅ Evidence-Based & Self-Evaluating: Prioritizing Accuracy. DeepSearch isn't just about finding information; it's about finding accurate information. It actively self-evaluates the quality of its findings and prioritizes answers supported by reliable references. In evaluations, DeepSearch achieves a 75% pass rate on complex questions, a significant leap from the 0% baseline of standard models like gemini-2.0-flash, demonstrating its commitment to delivering trustworthy results.

Use Cases: DeepSearch in Action

Need In-depth Insights for a Research Project? Imagine you're researching the long-term impact of a niche technology. Instead of spending days sifting through countless articles, DeepSearch can autonomously investigate the topic, synthesizing information from diverse sources and delivering a well-reasoned summary, complete with references, saving you valuable time and effort.
Staying Ahead in a Rapidly Changing Field? Are you tracking emerging trends in AI or biotechnology? DeepSearch can continuously monitor the web for the latest developments, going beyond surface-level news to analyze research papers, expert opinions, and industry reports, providing you with a comprehensive understanding of the evolving landscape.
Uncover Hidden Connections and Nuanced Details? Investigating a complex historical event or a multifaceted social issue? DeepSearch excels at deep dives. It can perform multiple search and reasoning cycles, exploring various perspectives and uncovering subtle but crucial details that traditional search methods might miss, helping you build a richer and more nuanced understanding.

In Unlock the Power of Deep Research

Jina AI DeepSearch API empowers you to move beyond quick answers and superficial information. It's the ideal tool for anyone who needs truly in-depth, well-reasoned, and evidence-backed answers to complex questions. Experience the next generation of search – experience DeepSearch.

Frequently Asked Questions (FAQ)

What exactly is DeepSearch? DeepSearch is an innovative LLM API that conducts iterative search, reading, and reasoning until it finds an accurate answer to your query or reaches its token budget limit. Think of it as a research assistant in an API.
How is DeepSearch different from research capabilities in models like OpenAI or Gemini? While others might focus on generating long-form articles, DeepSearch is laser-focused on delivering accurate answers through a rigorous iterative process. It's optimized for precise answers derived from deep web searches, not for creating lengthy reports.
Is the token usage higher with DeepSearch? Yes, for complex queries, DeepSearch can use a significant number of tokens, averaging around 70,000 tokens compared to the ~500 tokens of basic LLM responses. This reflects the depth of research it undertakes, but it's important to consider for cost management.
Can DeepSearch guarantee perfectly accurate answers? No, accuracy isn't guaranteed at 100%. However, its iterative approach significantly improves accuracy, achieving a 75% pass rate in evaluations, which is considerably better than baseline models.
Can I use DeepSearch with my existing OpenAI-compatible tools? Absolutely! The DeepSearch API is fully compatible with the OpenAI API schema. You can easily switch to DeepSearch using clients like Chatwise or CherryStudio by simply using 'jina-deepsearch-v1' as the model name.

More information on Jina DeepSearch API

Launched

2020-01

Pricing Model

Free Trial

Starting Price

Global Rank

94581

Month Visit

542.3K

Tech used

Google Analytics,Google Tag Manager,Cloudflare CDN,Fastly,GitHub Pages,Gzip,HTTP/3,OpenGraph,Varnish

Top 5 Countries

11.78%

11.43%

8.31%

6.58%

4.92%

China United States India Ethiopia Taiwan

Traffic Sources

2.33%

0.65%

0.08%

8.35%

45.33%

43.25%

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Source: Similarweb (Sep 25, 2025)

Jina DeepSearch API was manually vetted by our editorial team and was first featured on 2025-02-15.