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Jina AI pricing, features, company info, and alternatives
A factual product page for Jina AI as a search foundation API platform.
Last updated April 2026 · Pricing and features verified against official documentation
Pricing
Current public pricing tiers on file for Jina AI, last verified Apr 23, 2026.
Free trial
Free
10M tokens with no credit card or registration required.
Prototype Development
$20
1B tokens, unrestricted commercial use, and token-based billing.
Production Deployment
$200
11B tokens, unrestricted commercial use, priority customer support, and a free 1-hour consultation.
What You Can Do With It
The main capabilities that shape how people use Jina AI today.
Reader endpoints convert URLs or search results into LLM-friendly text for grounding and search workflows.
Embeddings, reranking, classifier, and segmenter APIs share one Jina API key and token pool.
The current model surface includes jina-reranker-v3, jina-embeddings-v4, jina-embeddings-v5-text-small, and jina-embeddings-v5-text-nano.
DeepSearch and the MCP, CLI, and web surfaces expand the platform beyond the raw API.
Best For
Who Jina AI is most clearly built for.
Developers building retrieval, grounding, or RAG pipelines that need reader, embedding, and reranking tools from one vendor.
Teams that want web-to-markdown and web-search extraction alongside model APIs.
Projects that need multimodal retrieval across text, images, and PDFs.
Model Notes
Current model information surfaced publicly for Jina AI.
Latest model
jina-reranker-v3
Model
jina-embeddings-v5-text-small
Model
jina-embeddings-v5-text-nano
Model
jina-embeddings-v4
Model
jina-clip-v2
Company
Leadership and company context for Jina AI.
Founders
Han Xiao
Platforms
Where you can use Jina AI today.
Web
API
CLI
MCP
Integrations
Notable connected tools and ecosystem hooks for Jina AI.
Elastic Inference Service
AWS SageMaker
Microsoft Azure
Google Cloud
Hugging Face
Privacy Notes
Publicly stated data-handling notes that matter when evaluating Jina AI.
The FAQ says Jina does not use API requests, inputs, or outputs to train its embedding, reranker, or other models.
The legal page says Jina may retain uploaded or collected data and use anonymized or pseudonymized data for business purposes, including improving its AI applications.
Compliance
Public compliance or enterprise-governance signals we found for Jina AI.
SOC 2 Type 1
SOC 2 Type 2
Access
How to integrate or build around Jina AI.
Public API
Yes
Docs
Available
Alternatives
Other tools worth considering alongside Jina AI.
Enterprise AI platform with models, search, and private deployment options.
Web data API for scraping, crawling, searching, and agent browsing.
Cited AI search and research tool built around web discovery and synthesis.
Product Snapshot
Jina AI is a search foundation platform from Jina AI. The current surface includes Reader, Embeddings, Reranker, Classifier, Segmenter, and DeepSearch products, plus web tooling and API access for search and grounding workflows.
What You Can Do With It
- Convert URLs into LLM-friendly text with the Reader surface.
- Search the web and return SERP-style text for grounding and retrieval.
- Use embeddings, reranking, classification, and chunking APIs from the same account.
- Deploy Jina models through Jina API and supported cloud or inference platforms.
Why It Stands Out
It combines reader, search, embeddings, reranking, and model APIs under one token-based account instead of splitting those capabilities across separate vendors.
Tradeoffs To Know
- Public pricing is token-based rather than seat-based, so spend scales with API traffic.
- The current product family spans several API surfaces and model types, which is broader than a single-purpose embedding or reranking tool.
- Jina says API inputs and outputs are not used to train its embedding, reranker, or other models, while the legal page also says anonymized or pseudonymized data may be used for business purposes.