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Jina AI

What Jina AI is
Jina AI supplies search components for teams building applications with language models. Its offerings include embeddings, rerankers, Reader, and small language models, with access through an API, the web, or self-hosted software. Reader turns a supplied URL into clean text for LLM, retrieval-augmented generation, and agent systems; it can also search the web and return five results with their URLs and content. The v5 omni embedding models place text, images, audio, video, and PDFs in a shared vector space. Reranker v3 and v3.5 compare candidate documents using listwise scoring in one forward pass.
The listed integrations include MongoDB, Qdrant, Pinecone, Weaviate, Milvus, LlamaIndex, Haystack, LangChain, and Dify. Model deployment is listed for AWS SageMaker, Microsoft Azure, and Google Cloud. Free API keys for Embeddings and Reranker allow 100 RPM and 100,000 TPM; paid keys allow 500 RPM and 2,000,000 TPM. Embedding context limits vary by model from 8,192 to 32,768 tokens. Inputs above a model's limit return an error unless truncation is enabled. Jina AI says it is SOC 2 Type 1 and Type 2 compliant, and its Embeddings FAQ says API requests, inputs, and outputs are not used to train its models.
Who it suits
Jina AI suits developers and businesses building search applications that use language models, especially those needing embeddings, document reranking, or URL content extraction. Its API, web, and self-hosted options and listed database and framework integrations support different deployment setups.
What it does well
- Reader extracts URL content into clean text for LLM and retrieval systems.
- Reader can return five web search results with URLs and content.
- v5 omni embeddings accept text, images, audio, video, and PDFs.
- Integrations include MongoDB, Qdrant, Pinecone, and LangChain.
- The maker states SOC 2 Type 1 and Type 2 compliance.
What to know first
- Toy Experiment permits non-commercial use only under CC-BY-NC.
- Free Embeddings and Reranker keys are limited to 100 RPM and 100,000 TPM.
- Embedding inputs above a model's context limit error unless truncation is enabled.
- Prototype Development costs $50, paid once; Production Deployment costs $500, paid once.
Limits
Toy Experiment provides 10 Million tokens for non-commercial use only under CC-BY-NC. Free API keys for Embeddings and Reranker are limited to 100 RPM and 100,000 TPM. Embedding context limits vary from 8,192 to 32,768 tokens, and inputs above the selected model's limit return an error unless truncation is enabled.
Plans
| Plan | Billed and limits | Price |
|---|---|---|
| Toy Experiment | 10 Million tokens · Non-commercial use only (CC-BY-NC) | Free |
| Prototype Development | $50 · 1 Billion tokens · 0.050 / 1M tokens · Standard key · Basic key management · Technical support | $50, paid once |
| Production Deployment | $500 · 11 Billion tokens · 0.045 / 1M tokens · Premium key with much higher rate limits · Advanced key management · Premium customer support in 24 hours · One-hour integration consultation | $500, paid once |
As jina.ai lists them, read 3 Oct 2026. The maker's own page has the final word.
Getting started
- Visit https://jina.ai/.
- Choose API, self-hosted, or web access.
- Choose the free Toy Experiment plan or a listed paid token bundle.
- For cloud model deployment, use AWS SageMaker, Microsoft Azure, or Google Cloud.
Verdict
Choose Jina AI if you are building search applications and need its embedding, reranking, or Reader capabilities across API, web, or self-hosted access. The free Toy Experiment plan is limited to non-commercial use, while the listed paid options are one-time token bundles.
Questions
Does Jina AI have a free plan?
Yes. Toy Experiment costs nothing and includes 10 Million tokens for non-commercial use only under CC-BY-NC.
What do the paid plans cost?
Prototype Development is $50, paid once, billed $50, and includes 1 Billion tokens. Production Deployment is $500, paid once, billed $500, and includes 11 Billion tokens.
Which platforms can I use?
Jina AI lists API, self-hosted, and web platforms. Its pricing page also lists model deployment through AWS SageMaker, Microsoft Azure, and Google Cloud.
What integrations are listed?
The maker lists MongoDB, Qdrant, Pinecone, Weaviate, Milvus, LlamaIndex, Haystack, LangChain, and Dify.
Who makes Jina AI?
Jina AI was founded in 2020 by Han Xiao and was acquired by Elastic on October 9, 2025.
Is there a free trial?
Yes, a free trial is listed.
Facts from Jina AI's own pages
- Cloud platforms
- The pricing page lists model deployment through AWS SageMaker, Microsoft Azure, and Google Cloud. · jina.ai, 3 Oct 2026
- Company
- Jina AI was founded in 2020 by Han Xiao and was acquired by Elastic on October 9, 2025. · jina.ai, 3 Oct 2026
- Data use
- The Embeddings FAQ says API requests, inputs, and outputs are not used to train Jina models. · jina.ai, 3 Oct 2026
- Embeddings
- The v5 omni embedding models accept text, images, audio, video, and PDFs in a shared vector space. · jina.ai, 3 Oct 2026
- Input limits
- Embedding model context limits vary by model from 8,192 to 32,768 tokens, and inputs above a model limit return an error unless truncation is enabled. · jina.ai, 3 Oct 2026
- Integrations
- The maker lists integrations including MongoDB, Qdrant, Pinecone, Weaviate, Milvus, LlamaIndex, Haystack, LangChain, and Dify. · jina.ai, 3 Oct 2026
- Privacy terms
- Jina AI's legal page says product data processing is now governed by Elastic's data processing terms and directs users to Elastic's Customer DPA and Privacy Statement. · jina.ai, 3 Oct 2026
- Product
- Jina AI provides embeddings, rerankers, readers, and small language models for businesses and developers building search applications. · jina.ai, 3 Oct 2026
- Rate limits
- Free API keys are limited to 100 RPM and 100,000 TPM for Embeddings and Reranker, while paid keys allow 500 RPM and 2,000,000 TPM. · jina.ai, 3 Oct 2026
- Reader
- Reader extracts core content from a supplied URL and converts it into clean text for LLM, RAG, and agent systems. · jina.ai, 3 Oct 2026
- Reranking
- Jina reranker v3 and v3.5 use listwise scoring, comparing candidate documents against each other in one forward pass. · jina.ai, 3 Oct 2026
- Security
- The maker's site says it is SOC 2 Type 1 and Type 2 compliant. · jina.ai, 3 Oct 2026
- Support
- The Production Deployment bundle includes premium customer support in 24 hours and a one-hour integration consultation. · jina.ai, 3 Oct 2026
- Web search
- Reader can search the web and return the top five results with their URLs and content in LLM-friendly text. · jina.ai, 3 Oct 2026
Where Jina AI stands on Freedom251
- AI Search Engines#10 of 28
