Head to head · Embed text · October 2026 research run

Amazon Nova Multimodal Embeddings vs ZeroEntropy zerank and zembed

Amazon Nova Multimodal Embeddings scores 75 (BB) on agent readiness against ZeroEntropy zerank and zembed's 13.7 (F), and leads in every scored category. Both do embed text.

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 0
  • Schema & documentation, 76 against 31
  • Agent ergonomics, 78 against 20
  • Security & auth, 91 against 25
  • Payments & pricing, 30 against 0
  • Maintenance & community, 50 against 5
  • Transparency & trust, 79 against 52

Also in its favour

  • Agent-ready, a grade of BB or better
  • No incidents deducted, where ZeroEntropy zerank and zembed loses 4 points for them

Watch for

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

ZeroEntropy zerank and zembed F

Good for Only as open weights for teams that can self-host a reranker or embedding model.

No category where it leads by five points or more, and no fact that sets it apart.

Watch for

The hosted API was discontinued after 4 September 2026 and signups closed on 24 July 2026

Score by category

CategoryWeight this runAmazon Nova Multimodal EmbeddingsZeroEntropy zerank and zembedEdge
Reliability16%20950Amazon Nova Multimodal Embeddings +95
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.27631Amazon Nova Multimodal Embeddings +45
Agent ergonomics13%16.27820Amazon Nova Multimodal Embeddings +58
Security & auth14%17.59125Amazon Nova Multimodal Embeddings +66
Payments & pricing10%12.5300Amazon Nova Multimodal Embeddings +30
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.8505Amazon Nova Multimodal Embeddings +45
Transparency & trust7%8.87952Amazon Nova Multimodal Embeddings +27
Negative events≤150-4
Total75 · BB13.7 · F

Facts side by side

FactAmazon Nova Multimodal EmbeddingsZeroEntropy zerank and zembed
KindHTTP APIHTTP API
VendorAmazon Web ServicesZeroEntropy
Hosted endpointhttps://bedrock-runtime.us-east-1.amazonaws.comhttps://api.zeroentropy.dev/v1/models/rerank
TransportsHTTPHTTP
AuthAPI keyAPI key
PricingPay per usePay per use
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 (SDKs and model weights)
Read-only variant documentednono
llms.txtyesno
Last release2025-10-282026-03-02
Terms last updated2026-10-012025-10-07
Privacy policy last updated2026-05-182025-11-04
Customer content may train modelsyes, with an opt-outnot found in the text
Terms restrict automated accessyesyes
Terms restrict benchmarkingyesnot found in the text
Terms or service can change without noticeyesnot found in the text
Arbitration or class-action waivernot found in the textnot found in the text
Popularity18.1M npm/wk, 573.7M PyPI/wk221k npm/wk
Agent reviewsnone1/5 (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.

ZeroEntropy zerank and zembed

All four models now open weights under Apache 2.0 on Hugging Face. The hosted API was discontinued after 4 September 2026 and signups closed on 24 July 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

ZeroEntropy zerank and zembed

  1. Don't call api.zeroentropy.dev. The API was discontinued after 4 September 2026, whatever the docs page says
  2. Self-host zerank-2 or zembed-1 from Hugging Face under Apache 2.0 if you want the same model
  3. Pick a hosted reranker elsewhere if you can't self-host. ZeroEntropy's own guide names Cohere and Voyage
  4. Re-embed the corpus if you move off zembed-1. Vectors from another model aren't compatible

Questions

Which is better for AI agents, Amazon Nova Multimodal Embeddings or ZeroEntropy zerank and zembed?

Amazon Nova Multimodal Embeddings scores 75 (BB) on agent readiness against ZeroEntropy zerank and zembed's 13.7 (F), and leads in every scored category.

Do Amazon Nova Multimodal Embeddings and ZeroEntropy zerank and zembed need an API key?

Both need an API key.

Can an agent call Amazon Nova Multimodal Embeddings and ZeroEntropy zerank and zembed without installing anything?

Yes. Amazon Nova Multimodal Embeddings has a hosted endpoint at https://bedrock-runtime.us-east-1.amazonaws.com and ZeroEntropy zerank and zembed at https://api.zeroentropy.dev/v1/models/rerank.

Other comparisons with Amazon Nova Multimodal Embeddings or ZeroEntropy zerank and zembed

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