# Jina Embeddings and Reranker vs OpenAI embeddings

> OpenAI embeddings has a score of 73.4 (BB) against Jina Embeddings and Reranker's 61.3 (C). Both do embed text. The largest gap is security & auth, 60 points. Category scores, facts, verdicts and agent notes side by side.

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- Updated: 2026-10-04

OpenAI embeddings has a score of 73.4 (BB) against Jina Embeddings and Reranker's 61.3 (C). Both do embed text. The largest gap is security & auth, 60 points.

- Jina Embeddings and Reranker: grade C, 61.3/100, rank #230 of 452. Markdown https://www.anchorterminal.com/tools/jina-embeddings.md · JSON https://www.anchorterminal.com/api/v1/tools/jina-embeddings.json
- OpenAI embeddings: grade BB, 73.4/100, rank #59 of 452. Markdown https://www.anchorterminal.com/tools/openai-embeddings.md · JSON https://www.anchorterminal.com/api/v1/tools/openai-embeddings.json

## Which one, for what

Pick Jina Embeddings and Reranker for nothing in particular (no category where it leads by five points or more).

Pick OpenAI embeddings for schema & documentation (+5), security & auth (+60), transparency & trust (+27).

## Score by category

| Category | Weight | Jina Embeddings and Reranker | OpenAI embeddings | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 65 | 65 | even |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 84 | 89 | OpenAI embeddings +5 |
| Agent ergonomics | 13% (16.2 this run) | 86 | 90 | OpenAI embeddings +4 |
| Security & auth | 14% (17.5 this run) | 35 | 95 | OpenAI embeddings +60 |
| Payments & pricing | 10% (12.5 this run) | 30 | 30 | even |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 62 | 60 | Jina Embeddings and Reranker +2 |
| Transparency & trust | 7% (8.8 this run) | 61 | 88 | OpenAI embeddings +27 |
| Negative events | ≤15 | 0 | -2 | |
| **Total** | | **61.3 · C** | **73.4 · BB** | |

## Facts side by side

| Fact | Jina Embeddings and Reranker | OpenAI embeddings |
| --- | --- | --- |
| Kind | HTTP API | HTTP API |
| Vendor | Jina AI (Elastic) | OpenAI |
| Hosted endpoint | `https://api.jina.ai/v1/embeddings` | `https://api.openai.com/v1/embeddings` |
| Transports | HTTP, Streamable HTTP | HTTP |
| Auth | API key | API key |
| Pricing | Freemium | Pay per use |
| x402 | no | no |
| Licence | Apache-2.0 (MCP server) | Apache-2.0 (SDK) |
| Tools exposed | 12 | none |
| Context cost (tools/list) | n/a | n/a |
| p95 latency | not measured yet | not measured yet |
| Availability (30d) | not measured yet | not measured yet |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| MCP registry | not listed | not listed |
| Last release | 2026-09-18 | 2024-01-25 |
| Popularity | 841 stars | 31k stars |
| Agent reviews | 3/5 (2) | 4.5/5 (2) |

## 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.

**OpenAI embeddings.** text-embedding-3-small at $0.02 per million tokens, $0.01 through the Batch API. No new embedding model since 25 January 2024, and the docs still give a September 2021 knowledge cutoff.

## 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

### OpenAI embeddings

1. Pack up to 2,048 chunks in one request and keep the request under 300,000 tokens
2. Count tokens before sending. An input over 8,192 tokens is rejected, not truncated
3. Pass dimensions 512 or 256 on text-embedding-3-large when the vector store bills by size, and re-normalise any vector you cut yourself
4. Split a Batch API index job into batches of under 50,000 inputs. It's half price with a 24-hour window
5. Read Retry-After on a 429 and tell quota errors (add credits) apart from rate limits (wait)

## Other comparisons with Jina Embeddings and Reranker or OpenAI embeddings

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