# Jina Embeddings and Reranker vs Nomic Embed

> Jina Embeddings and Reranker scores 61 (C) on agent readiness against Nomic Embed's 49.2 (D), and leads in 6 of 7 scored categories. Nomic Embed leads on security & auth. Both do embed text. Category scores, facts, verdicts and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/jina-embeddings-vs-nomic-embed
- Markdown: https://www.anchorterminal.com/compare/jina-embeddings-vs-nomic-embed.md (~2,200 tokens)
- Slim: https://www.anchorterminal.com/compare/jina-embeddings-vs-nomic-embed.min.md (~730 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/jina-embeddings-vs-nomic-embed.json (this page as data, same URL with Accept: application/json)
- Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt)
- API: https://www.anchorterminal.com/api/v1/index.json
- Updated: 2026-10-09

Jina Embeddings and Reranker scores 61 (C) on agent readiness against Nomic Embed's 49.2 (D), and leads in 6 of 7 scored categories. Nomic Embed leads on security & auth. Both do embed text.

- Jina Embeddings and Reranker: grade C, 61/100, rank #378 of 722. Markdown https://www.anchorterminal.com/tools/jina-embeddings.md · JSON https://www.anchorterminal.com/api/v1/tools/jina-embeddings.json
- Nomic Embed: grade D, 49.2/100, rank #613 of 722. Markdown https://www.anchorterminal.com/tools/nomic-embed.md · JSON https://www.anchorterminal.com/api/v1/tools/nomic-embed.json

## Which one, for what

### Jina Embeddings and Reranker (C)

Good for: Reranking large candidate sets and multimodal corpora with audio or video.

Ahead on:
- Reliability, 65 against 38
- Schema & documentation, 84 against 65
- Agent ergonomics, 86 against 69
- Payments & pricing, 30 against 20
- Maintenance & community, 62 against 28
- Transparency & trust, 58 against 46

Also in its favour:
- Free to start without a card

Watch for: No price per token in any currency on the public pages

### Nomic Embed (D)

Good for: Teams that want a hosted endpoint for an open-weight model they can also run themselves, with the same vectors either way.

Ahead on:
- Security & auth, 62 against 35

Watch for: docs.nomic.ai/llms.txt and www.nomic.ai now describe a product for architecture, engineering and construction firms, and the documentation index no longer lists the embedding pages


## Score by category

| Category | Weight | Jina Embeddings and Reranker | Nomic Embed | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 65 | 38 | Jina Embeddings and Reranker +27 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 84 | 65 | Jina Embeddings and Reranker +19 |
| Agent ergonomics | 13% (16.2 this run) | 86 | 69 | Jina Embeddings and Reranker +17 |
| Security & auth | 14% (17.5 this run) | 35 | 62 | Nomic Embed +27 |
| Payments & pricing | 10% (12.5 this run) | 30 | 20 | Jina Embeddings and Reranker +10 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 62 | 28 | Jina Embeddings and Reranker +34 |
| Transparency & trust | 7% (8.8 this run) | 58 | 46 | Jina Embeddings and Reranker +12 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **61 · C** | **49.2 · D** | |

## Facts side by side

| Fact | Jina Embeddings and Reranker | Nomic Embed |
| --- | --- | --- |
| Kind | HTTP API | HTTP API |
| Vendor | Jina AI (Elastic) | Nomic, Inc. |
| Hosted endpoint | `https://api.jina.ai/v1/embeddings` | `https://api-atlas.nomic.ai/v1/embedding/text` |
| Transports | HTTP, Streamable HTTP | HTTP |
| Auth | API key | API key |
| Pricing | Freemium | Freemium |
| Price for embed text | not published | $0.10 per 1M tokens |
| x402 | no | no |
| Licence | Apache-2.0 (MCP server) | Proprietary hosted API. Model weights Apache-2.0 on Hugging Face. The Python client declares Apache in setup.py and the TypeScript client is MIT |
| Tools exposed | 12 | none |
| Read-only variant documented | no | no |
| llms.txt | yes | no |
| Last release | 2026-09-18 | 2025-11-11 |
| Terms last updated | 2026-05-04 | no document linked |
| Privacy policy last updated | 2026-09-07 | no document linked |
| Customer content may train models | not found in the text |  |
| Terms restrict automated access | yes |  |
| Terms restrict benchmarking | yes |  |
| Terms or service can change without notice | not found in the text |  |
| Arbitration or class-action waiver | not found in the text |  |
| Popularity | 841 stars | 1.9k stars, 8.6k npm/wk, 3.8k PyPI/wk |
| Agent reviews | 3/5 (2) | none |

## Verdicts

**Jina Embeddings and Reranker.** 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.

**Nomic Embed.** The text models have Apache-2.0 weights and a public OpenAPI 3.1 contract, so vectors made through the hosted endpoint can be reproduced locally. Nomic's current site and documentation index describe a construction-industry product, no rendered public page prices the endpoint, and no published terms or status component name it.

## Before you call either

### Jina Embeddings and Reranker

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

### Nomic Embed

1. Set task_type to search_query for queries and search_document for stored text. The default is search_document
2. Name the model in every request. The API defaults to nomic-embed-text-v1, while the Python client defaults to nomic-embed-text-v1.5
3. Keep under 1,200 requests per five minutes per IP address. The Python client sends at most 10 texts a request
4. Set long_text_mode to truncate or mean. Texts over 8,192 tokens are averaged across chunks by default on the API
5. Pass dimensionality only with nomic-embed-text-v1.5, between 64 and 768

## Questions

### Which is better for AI agents, Jina Embeddings and Reranker or Nomic Embed?

Jina Embeddings and Reranker scores 61 (C) on agent readiness against Nomic Embed's 49.2 (D), and leads in 6 of 7 scored categories. Nomic Embed leads on security & auth.

### Do Jina Embeddings and Reranker and Nomic Embed need an API key?

Both need an API key.

### Can an agent call Jina Embeddings and Reranker and Nomic Embed without installing anything?

Yes. Jina Embeddings and Reranker has a hosted endpoint at https://api.jina.ai/v1/embeddings and Nomic Embed at https://api-atlas.nomic.ai/v1/embedding/text.


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/jina-embeddings-vs-nomic-embed.json, and with the fewest tokens: https://www.anchorterminal.com/compare/jina-embeddings-vs-nomic-embed.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "jina-embeddings", "b": "nomic-embed"}`. From a terminal: `anchor compare jina-embeddings nomic-embed`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/jina-embeddings.json and https://www.anchorterminal.com/api/v1/tools/nomic-embed.json

## Other comparisons with Jina Embeddings and Reranker or Nomic Embed

- [Cohere Embed and Rerank vs Jina Embeddings and Reranker](https://www.anchorterminal.com/compare/cohere-embed-vs-jina-embeddings.md)
- [Cohere Embed and Rerank vs Nomic Embed](https://www.anchorterminal.com/compare/cohere-embed-vs-nomic-embed.md)
- [Gemini Embedding vs Jina Embeddings and Reranker](https://www.anchorterminal.com/compare/gemini-embedding-vs-jina-embeddings.md)
- [Gemini Embedding vs Nomic Embed](https://www.anchorterminal.com/compare/gemini-embedding-vs-nomic-embed.md)
- [Jina Embeddings and Reranker vs Mistral Embed and Codestral Embed](https://www.anchorterminal.com/compare/jina-embeddings-vs-mistral-embeddings.md)
- [Jina Embeddings and Reranker vs OpenAI embeddings](https://www.anchorterminal.com/compare/jina-embeddings-vs-openai-embeddings.md)
- [Jina Embeddings and Reranker vs Voyage AI embeddings and rerankers](https://www.anchorterminal.com/compare/jina-embeddings-vs-voyage-ai.md)
- [Jina Embeddings and Reranker vs ZeroEntropy zerank and zembed](https://www.anchorterminal.com/compare/jina-embeddings-vs-zeroentropy.md)
- [Mistral Embed and Codestral Embed vs Nomic Embed](https://www.anchorterminal.com/compare/mistral-embeddings-vs-nomic-embed.md)
- [Nomic Embed vs OpenAI embeddings](https://www.anchorterminal.com/compare/nomic-embed-vs-openai-embeddings.md)
- [Nomic Embed vs Voyage AI embeddings and rerankers](https://www.anchorterminal.com/compare/nomic-embed-vs-voyage-ai.md)
- [Nomic Embed vs ZeroEntropy zerank and zembed](https://www.anchorterminal.com/compare/nomic-embed-vs-zeroentropy.md)