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DeepSearch
Search, read and reason until best answer found.
Reader
Convert any URL to Markdown for better grounding LLMs.
Embeddings
World-class multimodal multilingual embeddings.
Reranker
World-class neural retriever for maximizing search relevancy.
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Zero-shot and few-shot classification for image and text.
Segmenter
Cut long text into chunks and do tokenization.
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Auto codegen for your copilot IDE or LLM
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DeepSearch

Search, read and reason until best answer found.

DeepSearch API

Fully compatible with OpenAI's Chat API schema, simply swap api.openai.com with deepsearch.jina.ai to get started.
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Chat with DeepSearch
Vibe check with a simple chat UI. DeepSearch is best for complex questions that require iteratively reasoning, world-knowledge or up-to-date information.
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Messages
A list of messages between the user and the assistant comprising the conversation so far.
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Request
curl https://deepsearch.jina.ai/v1/chat/completions \
  -H "Authorization: Bearer " \
  -H "Content-Type: application/json" \
  -d @- <<EOFEOF
  {
    "model": "jina-deepsearch-v1",
    "messages": [
        {
            "role": "user",
            "content": "Hi!"
        },
        {
            "role": "assistant",
            "content": "Hi, how can I help you?"
        },
        {
            "role": "user",
            "content": "what's the latest blog post from jina ai?"
        }
    ],
    "stream": true,
    "reasoning_effort": "medium"
  }
EOFEOF

Chat with DeepSearch

Vibe check with a simple chat UI. DeepSearch is best for complex questions that require iteratively reasoning, world-knowledge or up-to-date information.
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Chat Clients
For the best experience, we recommend using professional chat clients. DeepSearch is fully compatible with OpenAI's Chat API schema, making it easy to use with any OpenAI-compatible client.
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Chatwise
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Cherry Studio
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Chatbox
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LobeChat
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NextChat

What is DeepSearch?

DeepSearch combines web searching, reading, and reasoning for comprehensive investigation. Think of it as an agent that you give a research task to - it searches extensively and works through multiple iterations before providing an answer. This process involves continuous research, reasoning, and approaching the problem from various angles. This is fundamentally different from standard LLMs that generate answers directly from pretrained data, and from traditional RAG systems that rely on one-time, surface-level searches.

Standard LLMs

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about 1000 tokens
access_time
about 1s
check
Quick answers to general knowledge questions
close
Cannot access real-time or post-training information
Answers are generated purely from pretrained knowledge with a fixed cutoff date

RAG and Grounded LLMs

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about 10,000 tokens
access_time
about 3s
check
Questions requiring current or domain-specific information
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Struggles with complex questions requiring multi-hop reasoning
Answers generated by summarizing a single-pass search results
Can access current information beyond training cutoff

DeepSearch

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about 500,000 tokens
access_time
about 50s
check
Complex questions requiring thorough research and reasoning
info
Takes longer than simple LLM or RAG approaches
Autonomous agent that iteratively searches, reads, and reasons
Dynamically decides next steps based on current findings
Self-evaluates answer quality before returning results
Can perform deep dives into topics through multiple search and reasoning cycles

API Pricing

API pricing is based on the token usage. One API key gives you access to all search foundation products.
With Jina Search Foundation API
The easiest way to access all of our products. Top-up tokens as you go.
Top up this API key with more tokens
Depending on your location, you may be charged in USD, EUR, or other currencies. Taxes may apply.
Please input the right API key to top up
Understand the rate limit
Rate limits are the maximum number of requests that can be made to an API within a minute per IP address/API key (RPM). Find out more about the rate limits for each product and tier below.
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Rate Limit
Rate limits are tracked in two ways: RPM (requests per minute) and TPM (tokens per minute). Limits are enforced per IP/API key and can be reached based on whichever threshold—RPM or TPM—is hit first. Note, when API key is provided in the request, rate limits are tracked per key, not per IP address.
ProductAPI EndpointDescriptionarrow_upwardw/o API Keyw/ API Keyw/ Premium API KeyAverage LatencyToken Usage CountingAllowed Request
Embedding APIhttps://api.jina.ai/v1/embeddingsConvert text/images to fixed-length vectorsblock500 RPM & 1,000,000 TPM2,000 RPM & 5,000,000 TPM
bolt
depends on the input size
help
Count the number of tokens in the input request.POST
Reranker APIhttps://api.jina.ai/v1/rerankTokenize and segment long textblock500 RPM & 1,000,000 TPM2,000 RPM & 5,000,000 TPM
bolt
depends on the input size
help
Count the number of tokens in the input request.POST
Reader APIhttps://r.jina.aiConvert URL to LLM-friendly text20 RPM200 RPM1000 RPM4.6sCount the number of tokens in the output response.GET/POST
DeepSearchhttps://deepsearch.jina.ai/v1/chat/completionsReason, search and iterate to find the best answerblock10 RPM30 RPM56.7sCount the total number of tokens in the whole process.POST
Reader APIhttps://s.jina.aiSearch the web and convert results to LLM-friendly textblock40 RPM100 RPM8.7sCount the number of tokens in the output response.GET/POST
Reader APIhttps://g.jina.aiGrounding a statement with web knowledgeblock10 RPM30 RPM22.7sCount the total number of tokens in the whole process.GET/POST
Classifier API (Zero-shot)https://api.jina.ai/v1/classifyClassify inputs using zero-shot classificationblock200 RPM & 500,000 TPM1,000 RPM & 3,000,000 TPM
bolt
depends on the input size
Tokens counted as: input_tokens + label_tokensPOST
Classifier API (Few-shot)https://api.jina.ai/v1/classifyClassify inputs using a trained few-shot classifierblock20 RPM & 200,000 TPM60 RPM & 1,000,000 TPM
bolt
depends on the input size
Tokens counted as: input_tokensPOST
Classifier APIhttps://api.jina.ai/v1/trainTrain a classifier using labeled examplesblock20 RPM & 200,000 TPM60 RPM & 1,000,000 TPM
bolt
depends on the input size
Tokens counted as: input_tokens × num_itersPOST
Segmenter APIhttps://api.jina.ai/v1/segmentTokenize and segment long text20 RPM200 RPM1,000 RPM0.3sToken is not counted as usage.GET/POST

FAQ

What is DeepSearch?
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DeepSearch is an LLM API that performs iterative search, reading, and reasoning until it finds an accurate answer to a query or reaches its token budget limit.
How is DeepSearch different from OpenAI and Gemini's deep research capabilities?
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Unlike OpenAI and Gemini, DeepSearch specifically focuses on delivering accurate answers through iteration rather than generating long-form articles. It's optimized for quick, precise answers from deep web search rather than creating comprehensive reports.
What API key do I need to use DeepSearch?
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You need a Jina API key. We offers 1M free tokens for new API keys.
What happens when DeepSearch reaches its token budget? Does it return an incomplete answer?
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It generates a final answer based on all accumulated knowledge, rather than just giving up or returning an incomplete response.
Does DeepSearch guarantee accurate answers?
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No. While it uses an iterative search process to improve accuracy, the evaluation shows it achieves a 75% pass rate on test questions, significantly better than the 0% baseline (gemini-2.0-flash) but not perfect.
How long does a typical DeepSearch query take?
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It varies significantly - queries can take anywhere from 1 to 42 steps, with an average of 4 steps based on evaluation data. That's 20 seconds. Simple queries might resolve quickly, while complex research questions can involve many iterations and up to 120 seconds.
Can DeepSearch work with any OpenAI-compatible client like Chatwise, CherryStudio or ChatBox?
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Yes, the official DeepSearch API at deepsearch.jina.ai/v1/chat/completions is fully compatible with the OpenAI API schema, using 'jina-deepsearch-v1' as the model name. Therefore it is super easy to switch from OpenAI to DeepSearch and use with local clients or any OpenAI-compatible client. We highly recommend Chatwise for a seamless experience.
What are the rate limits for the API?
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Rate limits vary by API key tier, ranging from 10 RPM to 30 RPM. This is important to consider for applications with high query volumes.
What is the content inside the <think> tag?
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DeepSearch wraps thinking steps in XML tags ... and provides the final answer afterward, following the OpenAI streaming format but with these special markers for the chain of thoughts.
Does DeepSearch use Jina Reader for web search and reading?
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Yes. Jina Reader is used for web search and reading, providing the system with the ability to efficiently access and process web content.
Why does DeepSearch use so many tokens for my queries?
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Yes, the token usage of DeepSearch on complex queries is arguably high - averaging 70,000 tokens compared to 500 for basic LLM responses. This shows the depth of research but also has cost implications.
Is there a way to control or limit the number of steps?
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The system is primarily controlled by token budget rather than step count. Once the token budget is exceeded, it enters Beast Mode for final answer generation. Check reasoning_effort for more details.
How reliable are the references in the answers?
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References are considered so important that if an answer is deemed definitive but lacks references, the system continues searching rather than accepting the answer.
Can DeepSearch handle questions about future events?
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Yes, but with extensive research steps. The example of 'who will be president in 2028' shows it can handle speculative questions through multiple research iterations, though accuracy isn't guaranteed for such predictions.

How to get my API key?

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What's the rate limit?

Rate Limit
Rate limits are tracked in two ways: RPM (requests per minute) and TPM (tokens per minute). Limits are enforced per IP/API key and can be reached based on whichever threshold—RPM or TPM—is hit first. Note, when API key is provided in the request, rate limits are tracked per key, not per IP address.
ProductAPI EndpointDescriptionarrow_upwardw/o API Keyw/ API Keyw/ Premium API KeyAverage LatencyToken Usage CountingAllowed Request
Embedding APIhttps://api.jina.ai/v1/embeddingsConvert text/images to fixed-length vectorsblock500 RPM & 1,000,000 TPM2,000 RPM & 5,000,000 TPM
bolt
depends on the input size
help
Count the number of tokens in the input request.POST
Reranker APIhttps://api.jina.ai/v1/rerankTokenize and segment long textblock500 RPM & 1,000,000 TPM2,000 RPM & 5,000,000 TPM
bolt
depends on the input size
help
Count the number of tokens in the input request.POST
Reader APIhttps://r.jina.aiConvert URL to LLM-friendly text20 RPM200 RPM1000 RPM4.6sCount the number of tokens in the output response.GET/POST
DeepSearchhttps://deepsearch.jina.ai/v1/chat/completionsReason, search and iterate to find the best answerblock10 RPM30 RPM56.7sCount the total number of tokens in the whole process.POST
Reader APIhttps://s.jina.aiSearch the web and convert results to LLM-friendly textblock40 RPM100 RPM8.7sCount the number of tokens in the output response.GET/POST
Reader APIhttps://g.jina.aiGrounding a statement with web knowledgeblock10 RPM30 RPM22.7sCount the total number of tokens in the whole process.GET/POST
Classifier API (Zero-shot)https://api.jina.ai/v1/classifyClassify inputs using zero-shot classificationblock200 RPM & 500,000 TPM1,000 RPM & 3,000,000 TPM
bolt
depends on the input size
Tokens counted as: input_tokens + label_tokensPOST
Classifier API (Few-shot)https://api.jina.ai/v1/classifyClassify inputs using a trained few-shot classifierblock20 RPM & 200,000 TPM60 RPM & 1,000,000 TPM
bolt
depends on the input size
Tokens counted as: input_tokensPOST
Classifier APIhttps://api.jina.ai/v1/trainTrain a classifier using labeled examplesblock20 RPM & 200,000 TPM60 RPM & 1,000,000 TPM
bolt
depends on the input size
Tokens counted as: input_tokens × num_itersPOST
Segmenter APIhttps://api.jina.ai/v1/segmentTokenize and segment long text20 RPM200 RPM1,000 RPM0.3sToken is not counted as usage.GET/POST

Other questions

API-related common questions
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Can I use the same API key for reader, embedding, reranking, classifying and fine-tuning APIs?
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Yes, the same API key is valid for all search foundation products from Jina AI. This includes the reader, embedding, reranking, classifying and fine-tuning APIs, with tokens shared between the all services.
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Can I monitor the token usage of my API key?
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Yes, token usage can be monitored in the 'API Key & Billing' tab by entering your API key, allowing you to view the recent usage history and remaining tokens. If you have logged in to the API dashboard, these details can also be viewed in the 'Manage API Key' tab.
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What should I do if I forget my API key?
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If you have misplaced a topped-up key and wish to retrieve it, please contact support AT jina.ai with your registered email for assistance. It's recommended to log in to keep your API key securely stored and easily accessible.
Contact
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Do API keys expire?
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No, our API keys do not have an expiration date. However, if you suspect your key has been compromised and wish to retire it, please contact our support team for assistance. You can also revoke your key in the API Key Management dashboard.
Contact
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Can I transfer tokens between API keys?
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Yes, you can transfer tokens from a premium key to another. After logging into your account on the API Key Management dashboard, use the settings of the key you want to transfer out to move all remaining paid tokens.
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Can I revoke my API key?
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Yes, you can revoke your API key if you believe it has been compromised. Revoking a key will immediately disable it for all users who have stored it, and all remaining balance and associated properties will be permanently unusable. If the key is a premium key, you have the option to transfer the remaining paid balance to another key before revocation. Notice that this action cannot be undone. To revoke a key, go to the key settings in the API Key Management dashboard.
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Why is the first request for some models slow?
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This is because our serverless architecture offloads certain models during periods of low usage. The initial request activates or 'warms up' the model, which may take a few seconds. After this initial activation, subsequent requests process much more quickly.
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Is user input data used for training your models?
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We adhere to a strict privacy policy and do not use user input data for training our models. We are also SOC 2 Type I and Type II compliant, ensuring high standards of security and privacy.
Billing-related common questions
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Is billing based on the number of sentences or requests?
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Our pricing model is based on the total number of tokens processed, allowing users the flexibility to allocate these tokens across any number of sentences, offering a cost-effective solution for diverse text analysis requirements.
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Is there a free trial available for new users?
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We offer a welcoming free trial to new users, which includes one million tokens for use with any of our models, facilitated by an auto-generated API key. Once the free token limit is reached, users can easily purchase additional tokens for their API keys via the 'Buy tokens' tab.
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Are tokens charged for failed requests?
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No, tokens are not deducted for failed requests.
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What payment methods are accepted?
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Payments are processed through Stripe, supporting a variety of payment methods including credit cards, Google Pay, and PayPal for your convenience.
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Is invoicing available for token purchases?
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Yes, an invoice will be issued to the email address associated with your Stripe account upon the purchase of tokens.
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