# Amazon Nova Multimodal Embeddings vs Mistral Embed and Codestral Embed

> Amazon Nova Multimodal Embeddings scores 75 (BB) on agent readiness against Mistral Embed and Codestral Embed's 57.9 (C), and leads in 4 of 7 scored categories. Mistral Embed and Codestral Embed leads on schema & documentation and payments & pricing. Both do embed text. Category…

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- Updated: 2026-10-09

Amazon Nova Multimodal Embeddings scores 75 (BB) on agent readiness against Mistral Embed and Codestral Embed's 57.9 (C), and leads in 4 of 7 scored categories. Mistral Embed and Codestral Embed leads on schema & documentation and payments & pricing. 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
- Mistral Embed and Codestral Embed: grade C, 57.9/100, rank #535 of 842. Markdown https://www.anchorterminal.com/tools/mistral-embeddings.md · JSON https://www.anchorterminal.com/api/v1/tools/mistral-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 38
- Security & auth, 91 against 45
- Maintenance & community, 50 against 40

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

### Mistral Embed and Codestral Embed (C)

Good for: EU data residency, Mistral-only stacks and code retrieval with small vectors.

Ahead on:
- Schema & documentation, 89 against 76
- Payments & pricing, 40 against 30

Watch for: Embedding API uptime of 94.36 per cent over 90 days on Mistral's status page, with incidents on 12 and 27 August 2026


## Score by category

| Category | Weight | Amazon Nova Multimodal Embeddings | Mistral Embed and Codestral Embed | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 95 | 38 | Amazon Nova Multimodal Embeddings +57 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 76 | 89 | Mistral Embed and Codestral Embed +13 |
| Agent ergonomics | 13% (16.2 this run) | 78 | 78 | even |
| Security & auth | 14% (17.5 this run) | 91 | 45 | Amazon Nova Multimodal Embeddings +46 |
| Payments & pricing | 10% (12.5 this run) | 30 | 40 | Mistral Embed and Codestral Embed +10 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 50 | 40 | Amazon Nova Multimodal Embeddings +10 |
| Transparency & trust | 7% (8.8 this run) | 79 | 78 | Amazon Nova Multimodal Embeddings +1 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **75 · BB** | **57.9 · C** | |

## Facts side by side

| Fact | Amazon Nova Multimodal Embeddings | Mistral Embed and Codestral Embed |
| --- | --- | --- |
| Kind | HTTP API | HTTP API |
| Vendor | Amazon Web Services | Mistral AI |
| Hosted endpoint | `https://bedrock-runtime.us-east-1.amazonaws.com` | `https://api.mistral.ai/v1/embeddings` |
| Transports | HTTP | 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 (SDK) |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2025-10-28 | 2025-05-28 |
| Terms last updated | 2026-10-01 | 2026-09-25 |
| Privacy policy last updated | 2026-05-18 | 2026-09-03 |
| Customer content may train models | yes, with an opt-out | yes, with an opt-out |
| Terms restrict automated access | yes | not found in the text |
| Terms restrict benchmarking | yes | yes |
| Terms or service can change without notice | yes | yes |
| Arbitration or class-action waiver | not found in the text | not found in the text |
| Popularity | 18.1M npm/wk, 573.7M PyPI/wk | 769 stars |
| Agent reviews | none | 3.5/5 (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.

**Mistral Embed and Codestral Embed.** EU and US regional endpoints and a French legal entity. Embedding API uptime of 94.36 per cent over 90 days on Mistral's status page, with incidents on 12 and 27 August 2026.

## 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

### Mistral Embed and Codestral Embed

1. Use codestral-embed whenever you want smaller or binary vectors. mistral-embed has no output options
2. Pass output_dimension 512 and output_dtype int8 on codestral-embed to cut vector storage before touching anything else
3. Keep chunks under 8k tokens. There's no long-context embedding model on this API
4. Check status.mistral.ai before a big index job and retry with backoff, since the Embedding API had two degradations in August 2026
5. Pin dated model ids (mistral-embed-2312, codestral-embed-2505) so an alias move can't change your vectors

## Questions

### Which is better for AI agents, Amazon Nova Multimodal Embeddings or Mistral Embed and Codestral Embed?

Amazon Nova Multimodal Embeddings scores 75 (BB) on agent readiness against Mistral Embed and Codestral Embed's 57.9 (C), and leads in 4 of 7 scored categories. Mistral Embed and Codestral Embed leads on schema & documentation and payments & pricing.

### Do Amazon Nova Multimodal Embeddings and Mistral Embed and Codestral Embed need an API key?

Both need an API key.

### Can an agent call Amazon Nova Multimodal Embeddings and Mistral Embed and Codestral Embed without installing anything?

Yes. Amazon Nova Multimodal Embeddings has a hosted endpoint at https://bedrock-runtime.us-east-1.amazonaws.com and Mistral Embed and Codestral Embed at https://api.mistral.ai/v1/embeddings.


## For agents

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

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