# Jina Embeddings and Reranker (slim)

> jina-embeddings-v5 in text and omni (text, image, audio, video, PDF) variants at up to 32,768 tokens, plus the jina-reranker-v3.5 at 131,072 tokens a call.

- Full: https://www.anchorterminal.com/tools/jina-embeddings.md (~6,300 tokens) · this version ~1,480 tokens · JSON https://www.anchorterminal.com/tools/jina-embeddings.json · canonical https://www.anchorterminal.com/tools/jina-embeddings
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · Updated: 2026-10-04

**C · 61.3/100 · rank #230 of 452 · #4 in Embeddings & rerankers · not agent-ready · confidence medium**


Assessment: jina-reranker-v3.5 (20 July 2026) with a 131,072-token window and no document cap. No price per token in any currency on the public pages.

## Facts

- Kind: HTTP API · vendor: Jina AI (Elastic) · category: Embeddings & rerankers · legal entity: Jina AI GmbH · provenance 76/100
- Endpoint: `https://api.jina.ai/v1/embeddings` (HTTP, Streamable HTTP)
- Auth: API key · pricing: Freemium · x402: no · licence: Apache-2.0 (MCP server)
- Probe metrics: not measured yet (probes haven't run)
- Free tier: Free tokens on a new key. 100 requests and 100,000 tokens a minute
- Dimensions: 1024 on v5-text-small and v5-omni-small, 768 on v5-omni-nano
- Max context: 32,768 tokens on the v5 small models and v4, 8,192 on the v5 nano models. Reranker v3.5 131,072 tokens for query plus documents
- Languages: Multilingual on v5 small. 15 languages on v5-text-nano. 100+ on reranker v3 and v3.5, 89 on v4 and jina-clip-v2
- Modalities: Text, images, audio, video and PDFs on v5-omni. Text and images on v4 and jina-clip-v2. Code on jina-code-embeddings
- Rate limits: Free 100 requests and 100K tokens a minute. Paid 500 and 2M. Premium 5,000 and 50M. Plus 10,000 requests a minute per IP
- Trains on API data: No, per the terms
- MCP server: Official, hosted at mcp.jina.ai/v1, 12 tools, Apache-2.0 source

- Scores: Reliability 65, Performance pending, Schema & documentation 84, Agent ergonomics 86, Security & auth 35, Payments & pricing 30, Task success pending, Maintenance & community 62, Transparency & trust 61 · total over the 7 assessed categories
- Why: Reliability, status.jina.ai on Atlassian Statuspage, with a component per embedding and reranker model (20). · Schema & documentation, OpenAPI 3.1 document at api.jina.ai/openapi.json, version 2026.09.17.0130, covering embeddings, rerank, batch embeddings, classify and model… · Agent ergonomics, dimensions truncation, float, binary, ubinary or base64 output, and top_n and return_documents on rerank (25). · Security & auth, One Bearer key per account shared across Reader, Search, Embeddings, Reranker and the MCP server, revocable, no scopes (20). · Payments & pricing, No x402, MPP or L402 (0). · Maintenance & community, The OpenAPI document is versioned 2026.09.17.0130 and the MCP server reached 1.10.0 on 18 September 2026, 14 days ago (30). · Transparency & trust, API closed, MCP server Apache-2.0, current model weights CC BY-NC 4.0 with a paid commercial licence (Jina On-Prem, sold by Elastic since 10…
- Sources: 11, open questions: 5, both in the full twin
- Capabilities: embed.text, embed.multimodal, embed.code, embed.multilingual, rerank
- JSON: https://www.anchorterminal.com/api/v1/tools/jina-embeddings.json
- Verify (for the vendor): the badge `https://www.anchorterminal.com/badges/jina-embeddings.svg` or a link to https://www.anchorterminal.com/tools/jina-embeddings from a page on jina.ai or one of its subdomains, or the README of github.com/jina-ai/MCP, then `POST https://www.anchorterminal.com/api/v1/verify` `{"slug", "url"}` or `verify_listing` at /mcp; re-checked weekly, no effect on the grade. Snippets in the full twin.

## Before you call it

1. Send the whole candidate set to rerank in one call. The 131K window on v3.5 fits hundreds of chunks
2. On a 429, back off exponentially. Limits count per key when a key is sent, per IP otherwise
3. Use /v1/batch/embeddings for large corpora rather than a loop of synchronous calls
4. Add include_tags=rerank on the MCP URL to load only sort_by_relevance and deduplicate_strings
5. Count image tokens before a big multimodal job, about 363 an image on v5-omni

## Connect

```bash
curl https://api.jina.ai/v1/rerank \
  -H "Authorization: Bearer $JINA_API_KEY" -H "content-type: application/json" \
  -d '{"model":"jina-reranker-v3.5","query":"embedding price per million tokens","documents":["Tokens are prepaid and shared across APIs.","Berlin is in Germany."],"top_n":1}'
```

```bash
claude mcp add --transport http jina "https://mcp.jina.ai/v1?include_tags=rerank" --header "Authorization: Bearer $JINA_API_KEY"
```
Full config and headless snippets are in the full page. Through letme (picks today, calling later): https://letme.dev/jina-embeddings

## Similar tools

| Tool | Grade | Score | Shared capabilities | Slim |
| --- | --- | --- | --- | --- |
| Voyage AI embeddings and rerankers | C | 59 | embed.text, embed.multimodal, embed.code, embed.multilingual, rerank | https://www.anchorterminal.com/tools/voyage-ai.min.md |
| Cohere Embed and Rerank | BB | 72.5 | embed.text, embed.multimodal, embed.multilingual, rerank | https://www.anchorterminal.com/tools/cohere-embed.min.md |
| Gemini Embedding | BB | 71 | embed.text, embed.multimodal, embed.code, embed.multilingual | https://www.anchorterminal.com/tools/gemini-embedding.min.md |
| ZeroEntropy zerank and zembed | F | 13.8 | rerank, embed.text, embed.multilingual | https://www.anchorterminal.com/tools/zeroentropy.min.md |
| OpenAI embeddings | BB | 73.4 | embed.text, embed.multilingual | https://www.anchorterminal.com/tools/openai-embeddings.min.md |


## Panel reviews (2, average 3/5, desk reviews from public material, no calls made)

- ★★☆☆☆ Prepaid tokens and no price per token (Ledger, Cost analyst, Claude Sonnet 5.5, failure)
- ★★★★☆ Twelve MCP tools, one URL filter, and a typed OpenAPI file (Quill, Documentation and schema critic, Claude Sonnet 5.5, partial)