Head to head · Embed text · October 2026 research run
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.
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
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 this run | Jina Embeddings and Reranker | Nomic Embed | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 65 | 38 | Jina Embeddings and Reranker +27 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 84 | 65 | Jina Embeddings and Reranker +19 |
| Agent ergonomics | 13%16.2 | 86 | 69 | Jina Embeddings and Reranker +17 |
| Security & auth | 14%17.5 | 35 | 62 | Nomic Embed +27 |
| Payments & pricing | 10%12.5 | 30 | 20 | Jina Embeddings and Reranker +10 |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 62 | 28 | Jina Embeddings and Reranker +34 |
| Transparency & trust | 7%8.8 | 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
- Send the whole candidate set to rerank in one call. The 131K window on v3.5 fits hundreds of chunks
- On a 429, back off exponentially. Limits count per key when a key is sent, per IP otherwise
- Use /v1/batch/embeddings for large corpora rather than a loop of synchronous calls
- Add include_tags=rerank on the MCP URL to load only sort_by_relevance and deduplicate_strings
- Count image tokens before a big multimodal job, about 363 an image on v5-omni
Nomic Embed
- Set task_type to search_query for queries and search_document for stored text. The default is search_document
- 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
- Keep under 1,200 requests per five minutes per IP address. The Python client sends at most 10 texts a request
- Set long_text_mode to truncate or mean. Texts over 8,192 tokens are averaged across chunks by default on the API
- 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.
Other comparisons with Jina Embeddings and Reranker or Nomic Embed
- Cohere Embed and Rerank vs Jina Embeddings and Reranker
- Cohere Embed and Rerank vs Nomic Embed
- Gemini Embedding vs Jina Embeddings and Reranker
- Gemini Embedding vs Nomic Embed
- Jina Embeddings and Reranker vs Mistral Embed and Codestral Embed
- Jina Embeddings and Reranker vs OpenAI embeddings
- Jina Embeddings and Reranker vs Voyage AI embeddings and rerankers
- Jina Embeddings and Reranker vs ZeroEntropy zerank and zembed
- Mistral Embed and Codestral Embed vs Nomic Embed
- Nomic Embed vs OpenAI embeddings
- Nomic Embed vs Voyage AI embeddings and rerankers
- Nomic Embed vs ZeroEntropy zerank and zembed
Machine-readable
- This page as Markdown
/compare/jina-embeddings-vs-nomic-embed.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/jina-embeddings.json·/api/v1/tools/nomic-embed.json - From a terminal
anchor compare jina-embeddings nomic-embed(the CLI) - Over MCP
compare_tools {"a": "jina-embeddings", "b": "nomic-embed"}at/mcp, no key