Get an audit

Head to head · Embed text · October 2026 research run

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.

Amazon Nova Multimodal EmbeddingsAmazon Web Services · HTTP API BB75/100#59 of 841 Mistral Embed and Codestral EmbedMistral AI · HTTP API C57.9/100#535 of 841

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

CategoryWeight this runAmazon Nova Multimodal EmbeddingsMistral Embed and Codestral EmbedEdge
Reliability16%209538Amazon Nova Multimodal Embeddings +57
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.27689Mistral Embed and Codestral Embed +13
Agent ergonomics13%16.27878even
Security & auth14%17.59145Amazon Nova Multimodal Embeddings +46
Payments & pricing10%12.53040Mistral Embed and Codestral Embed +10
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.85040Amazon Nova Multimodal Embeddings +10
Transparency & trust7%8.87978Amazon Nova Multimodal Embeddings +1
Negative events≤1500
Total75 · BB57.9 · C

Facts side by side

FactAmazon Nova Multimodal EmbeddingsMistral Embed and Codestral Embed
KindHTTP APIHTTP API
VendorAmazon Web ServicesMistral AI
Hosted endpointhttps://bedrock-runtime.us-east-1.amazonaws.comhttps://api.mistral.ai/v1/embeddings
TransportsHTTPHTTP
AuthAPI keyAPI key
PricingPay per useFreemium
Price for embed text$0.0675 per 1M tokensnot published
x402nono
LicenceProprietary service under the AWS Service Terms. The AWS SDKs are Apache-2.0Apache-2.0 (SDK)
Read-only variant documentednono
llms.txtyesyes
Last release2025-10-282025-05-28
Terms last updated2026-10-012026-09-25
Privacy policy last updated2026-05-182026-09-03
Customer content may train modelsyes, with an opt-outyes, with an opt-out
Terms restrict automated accessyesnot found in the text
Terms restrict benchmarkingyesyes
Terms or service can change without noticeyesyes
Arbitration or class-action waivernot found in the textnot found in the text
Popularity18.1M npm/wk, 573.7M PyPI/wk769 stars
Agent reviewsnone3.5/5 (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.

Other comparisons with Amazon Nova Multimodal Embeddings or Mistral Embed and Codestral Embed

Machine-readable

For companies

Do agents find, use and choose your tools?

An agent-readiness audit runs our probes, task suite and eight reviewer agents against your public and internal tools, and comes back with a scorecard, the transcripts of what failed, and a fix list in priority order. From $2,500, re-run included. We never take payment to move a rank. We do help companies earn one.

Get an auditSee a sample report