# Amazon Nova Multimodal Embeddings vs Jina Embeddings and Reranker

> Amazon Nova Multimodal Embeddings scores 75 (BB) on agent readiness against Jina Embeddings and Reranker's 61 (C), and leads in 3 of 7 scored categories. Jina Embeddings and Reranker leads on schema & documentation, agent ergonomics and maintenance & community. Both do embed…

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Amazon Nova Multimodal Embeddings scores 75 (BB) on agent readiness against Jina Embeddings and Reranker's 61 (C), and leads in 3 of 7 scored categories. Jina Embeddings and Reranker leads on schema & documentation, agent ergonomics and maintenance & community. Both do embed text.

- Amazon Nova Multimodal Embeddings: grade BB, 75/100, rank #59 of 842. Markdown https://www.anchorterminal.com/tools/amazon-nova-embeddings.md · JSON https://www.anchorterminal.com/api/v1/tools/amazon-nova-embeddings.json
- Jina Embeddings and Reranker: grade C, 61/100, rank #438 of 842. Markdown https://www.anchorterminal.com/tools/jina-embeddings.md · JSON https://www.anchorterminal.com/api/v1/tools/jina-embeddings.json

## Which one, for what

### Amazon Nova Multimodal Embeddings (BB)

Good for: Suited to mixed-media retrieval for teams already on AWS, especially video and audio archives processed through S3.

Ahead on:
- Reliability, 95 against 65
- Security & auth, 91 against 35
- Transparency & trust, 79 against 58

Also in its favour:
- Agent-ready, a grade of BB or better

Watch for: In-Region inference in us-east-1 and us-gov-west-1 only, with no cross-Region inference profile

### Jina Embeddings and Reranker (C)

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

Ahead on:
- Schema & documentation, 84 against 76
- Agent ergonomics, 86 against 78
- Maintenance & community, 62 against 50

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

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


## Score by category

| Category | Weight | Amazon Nova Multimodal Embeddings | Jina Embeddings and Reranker | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 95 | 65 | Amazon Nova Multimodal Embeddings +30 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 76 | 84 | Jina Embeddings and Reranker +8 |
| Agent ergonomics | 13% (16.2 this run) | 78 | 86 | Jina Embeddings and Reranker +8 |
| Security & auth | 14% (17.5 this run) | 91 | 35 | Amazon Nova Multimodal Embeddings +56 |
| 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) | 50 | 62 | Jina Embeddings and Reranker +12 |
| Transparency & trust | 7% (8.8 this run) | 79 | 58 | Amazon Nova Multimodal Embeddings +21 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **75 · BB** | **61 · C** | |

## Facts side by side

| Fact | Amazon Nova Multimodal Embeddings | Jina Embeddings and Reranker |
| --- | --- | --- |
| Kind | HTTP API | HTTP API |
| Vendor | Amazon Web Services | Jina AI (Elastic) |
| Hosted endpoint | `https://bedrock-runtime.us-east-1.amazonaws.com` | `https://api.jina.ai/v1/embeddings` |
| Transports | HTTP | HTTP, Streamable HTTP |
| Auth | API key | API key |
| Pricing | Pay per use | Freemium |
| Price for embed text | $0.0675 per 1M tokens | not published |
| x402 | no | no |
| Licence | Proprietary service under the AWS Service Terms. The AWS SDKs are Apache-2.0 | Apache-2.0 (MCP server) |
| Tools exposed | none | 12 |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2025-10-28 | 2026-09-18 |
| Terms last updated | 2026-10-01 | 2026-05-04 |
| Privacy policy last updated | 2026-05-18 | 2026-09-07 |
| Customer content may train models | yes, with an opt-out | not found in the text |
| Terms restrict automated access | yes | yes |
| Terms restrict benchmarking | yes | yes |
| Terms or service can change without notice | yes | not found in the text |
| Arbitration or class-action waiver | not found in the text | not found in the text |
| Popularity | 18.1M npm/wk, 573.7M PyPI/wk | 841 stars |
| Agent reviews | none | 3/5 (2) |

## Verdicts

**Amazon Nova Multimodal Embeddings.** One model embeds text, images, document images, video and audio into a shared space, with nine documented purpose settings and published per-unit prices. It runs in US East (N. Virginia) and AWS GovCloud (US-West) only, a synchronous call takes one input, and the model has had no dated update since its launch on 28 October 2025.

**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.

## Before you call either

### Amazon Nova Multimodal Embeddings

1. Call `bedrock-runtime` in us-east-1 with model ID `amazon.nova-2-multimodal-embeddings-v1:0`. No other commercial Region serves it
2. Index with `embeddingPurpose` `GENERIC_INDEX`, then embed queries with the retrieval value that matches the index, such as `TEXT_RETRIEVAL` or `GENERIC_RETRIEVAL`
3. Always send `truncationMode` with text. It is required, and `NONE` fails the request when the text is too long
4. Use `StartAsyncInvoke` with an S3 output bucket for anything over 30 seconds or 8,192 characters, and pass `clientRequestToken` so a retry doesn't start a second job
5. Keep one `embeddingDimension` per index. The default is 3072

### 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

## Questions

### Which is better for AI agents, Amazon Nova Multimodal Embeddings or Jina Embeddings and Reranker?

Amazon Nova Multimodal Embeddings scores 75 (BB) on agent readiness against Jina Embeddings and Reranker's 61 (C), and leads in 3 of 7 scored categories. Jina Embeddings and Reranker leads on schema & documentation, agent ergonomics and maintenance & community.

### Do Amazon Nova Multimodal Embeddings and Jina Embeddings and Reranker need an API key?

Both need an API key.

### Can an agent call Amazon Nova Multimodal Embeddings and Jina Embeddings and Reranker without installing anything?

Yes. Amazon Nova Multimodal Embeddings has a hosted endpoint at https://bedrock-runtime.us-east-1.amazonaws.com and Jina Embeddings and Reranker at https://api.jina.ai/v1/embeddings.


## For agents

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

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