# 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. Category scores, facts, verdicts and agent notes side by side. - Canonical: https://www.anchorterminal.com/compare/amazon-nova-embeddings-vs-zeroentropy - Markdown: https://www.anchorterminal.com/compare/amazon-nova-embeddings-vs-zeroentropy.md (~2,500 tokens) - Slim: https://www.anchorterminal.com/compare/amazon-nova-embeddings-vs-zeroentropy.min.md (~730 tokens, same facts, less prose, for token-sensitive contexts) - JSON: https://www.anchorterminal.com/compare/amazon-nova-embeddings-vs-zeroentropy.json (this page as data, same URL with Accept: application/json) - Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt) - API: https://www.anchorterminal.com/api/v1/index.json - Updated: 2026-10-09 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. - 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 - ZeroEntropy zerank and zembed: grade F, 13.7/100, rank #839 of 842. Markdown https://www.anchorterminal.com/tools/zeroentropy.md · JSON https://www.anchorterminal.com/api/v1/tools/zeroentropy.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 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. Watch for: The hosted API was discontinued after 4 September 2026 and signups closed on 24 July 2026 ## Score by category | Category | Weight | Amazon Nova Multimodal Embeddings | ZeroEntropy zerank and zembed | Edge | | --- | --- | --- | --- | --- | | Reliability | 16% (20 this run) | 95 | 0 | Amazon Nova Multimodal Embeddings +95 | | Performance | 10%, pending | pending | pending | not scored in this run | | Schema & documentation | 13% (16.2 this run) | 76 | 31 | Amazon Nova Multimodal Embeddings +45 | | Agent ergonomics | 13% (16.2 this run) | 78 | 20 | Amazon Nova Multimodal Embeddings +58 | | Security & auth | 14% (17.5 this run) | 91 | 25 | Amazon Nova Multimodal Embeddings +66 | | Payments & pricing | 10% (12.5 this run) | 30 | 0 | Amazon Nova Multimodal Embeddings +30 | | Task success | 10%, pending | pending | pending | not scored in this run | | Maintenance & community | 7% (8.8 this run) | 50 | 5 | Amazon Nova Multimodal Embeddings +45 | | Transparency & trust | 7% (8.8 this run) | 79 | 52 | Amazon Nova Multimodal Embeddings +27 | | Negative events | ≤15 | 0 | -4 | | | **Total** | | **75 · BB** | **13.7 · F** | | ## Facts side by side | Fact | Amazon Nova Multimodal Embeddings | ZeroEntropy zerank and zembed | | --- | --- | --- | | Kind | HTTP API | HTTP API | | Vendor | Amazon Web Services | ZeroEntropy | | Hosted endpoint | `https://bedrock-runtime.us-east-1.amazonaws.com` | `https://api.zeroentropy.dev/v1/models/rerank` | | Transports | HTTP | HTTP | | Auth | API key | API key | | Pricing | Pay per use | Pay per use | | 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 (SDKs and model weights) | | Read-only variant documented | no | no | | llms.txt | yes | no | | Last release | 2025-10-28 | 2026-03-02 | | Terms last updated | 2026-10-01 | 2025-10-07 | | Privacy policy last updated | 2026-05-18 | 2025-11-04 | | 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 | not found in the text | | 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 | 221k npm/wk | | Agent reviews | none | 1/5 (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. ## For agents - This comparison as JSON: https://www.anchorterminal.com/compare/amazon-nova-embeddings-vs-zeroentropy.json, and with the fewest tokens: https://www.anchorterminal.com/compare/amazon-nova-embeddings-vs-zeroentropy.min.md - Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "amazon-nova-embeddings", "b": "zeroentropy"}`. From a terminal: `anchor compare amazon-nova-embeddings zeroentropy` - Each listing in full: https://www.anchorterminal.com/api/v1/tools/amazon-nova-embeddings.json and https://www.anchorterminal.com/api/v1/tools/zeroentropy.json ## Other comparisons with Amazon Nova Multimodal Embeddings or ZeroEntropy zerank and zembed - [Amazon Nova Multimodal Embeddings vs Cohere Embed and Rerank](https://www.anchorterminal.com/compare/amazon-nova-embeddings-vs-cohere-embed.md) - [Amazon Nova Multimodal Embeddings vs Gemini Embedding](https://www.anchorterminal.com/compare/amazon-nova-embeddings-vs-gemini-embedding.md) - [Amazon Nova Multimodal Embeddings vs Jina Embeddings and Reranker](https://www.anchorterminal.com/compare/amazon-nova-embeddings-vs-jina-embeddings.md) - [Amazon Nova Multimodal Embeddings vs Mistral Embed and Codestral Embed](https://www.anchorterminal.com/compare/amazon-nova-embeddings-vs-mistral-embeddings.md) - [Amazon Nova Multimodal Embeddings vs Nomic Embed](https://www.anchorterminal.com/compare/amazon-nova-embeddings-vs-nomic-embed.md) - [Amazon Nova Multimodal Embeddings vs NVIDIA NeMo Retriever Embedding and Reranking NIMs](https://www.anchorterminal.com/compare/amazon-nova-embeddings-vs-nvidia-nemo-retriever.md) - [Amazon Nova Multimodal Embeddings vs OpenAI embeddings](https://www.anchorterminal.com/compare/amazon-nova-embeddings-vs-openai-embeddings.md) - [Amazon Nova Multimodal Embeddings vs Voyage AI embeddings and rerankers](https://www.anchorterminal.com/compare/amazon-nova-embeddings-vs-voyage-ai.md) - [Cohere Embed and Rerank vs ZeroEntropy zerank and zembed](https://www.anchorterminal.com/compare/cohere-embed-vs-zeroentropy.md) - [Gemini Embedding vs ZeroEntropy zerank and zembed](https://www.anchorterminal.com/compare/gemini-embedding-vs-zeroentropy.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 ZeroEntropy zerank and zembed](https://www.anchorterminal.com/compare/mistral-embeddings-vs-zeroentropy.md) - [Nomic Embed vs ZeroEntropy zerank and zembed](https://www.anchorterminal.com/compare/nomic-embed-vs-zeroentropy.md) - [NVIDIA NeMo Retriever Embedding and Reranking NIMs vs ZeroEntropy zerank and zembed](https://www.anchorterminal.com/compare/nvidia-nemo-retriever-vs-zeroentropy.md) - [OpenAI embeddings vs ZeroEntropy zerank and zembed](https://www.anchorterminal.com/compare/openai-embeddings-vs-zeroentropy.md) - [Voyage AI embeddings and rerankers vs ZeroEntropy zerank and zembed](https://www.anchorterminal.com/compare/voyage-ai-vs-zeroentropy.md)