# Amazon Nova Multimodal Embeddings vs Nomic Embed

> Amazon Nova Multimodal Embeddings scores 75 (BB) on agent readiness against Nomic Embed's 49.2 (D), and leads in every scored category. Both do embed text. Amazon Nova Multimodal Embeddings is cheaper for embed text, $0.0675 against $0.10 per 1M tokens. Category scores, facts…

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Amazon Nova Multimodal Embeddings scores 75 (BB) on agent readiness against Nomic Embed's 49.2 (D), and leads in every scored category. Both do embed text. Amazon Nova Multimodal Embeddings is cheaper for embed text, $0.0675 against $0.10 per 1M tokens.

- 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
- Nomic Embed: grade D, 49.2/100, rank #711 of 842. Markdown https://www.anchorterminal.com/tools/nomic-embed.md · JSON https://www.anchorterminal.com/api/v1/tools/nomic-embed.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
- Schema & documentation, 76 against 65
- Agent ergonomics, 78 against 69
- Security & auth, 91 against 62
- Payments & pricing, 30 against 20
- Maintenance & community, 50 against 28
- Transparency & trust, 79 against 46

Also in its favour:
- Cheaper for embed text, $0.0675 against $0.10 per 1M tokens
- 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

### Nomic Embed (D)

Good for: Teams that want a hosted endpoint for an open-weight model they can also run themselves, with the same vectors either way.

Watch for: docs.nomic.ai/llms.txt and www.nomic.ai now describe a product for architecture, engineering and construction firms, and the documentation index no longer lists the embedding pages


## Score by category

| Category | Weight | Amazon Nova Multimodal Embeddings | Nomic 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 | 65 | Amazon Nova Multimodal Embeddings +11 |
| Agent ergonomics | 13% (16.2 this run) | 78 | 69 | Amazon Nova Multimodal Embeddings +9 |
| Security & auth | 14% (17.5 this run) | 91 | 62 | Amazon Nova Multimodal Embeddings +29 |
| Payments & pricing | 10% (12.5 this run) | 30 | 20 | Amazon Nova Multimodal Embeddings +10 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 50 | 28 | Amazon Nova Multimodal Embeddings +22 |
| Transparency & trust | 7% (8.8 this run) | 79 | 46 | Amazon Nova Multimodal Embeddings +33 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **75 · BB** | **49.2 · D** | |

## Facts side by side

| Fact | Amazon Nova Multimodal Embeddings | Nomic Embed |
| --- | --- | --- |
| Kind | HTTP API | HTTP API |
| Vendor | Amazon Web Services | Nomic, Inc. |
| Hosted endpoint | `https://bedrock-runtime.us-east-1.amazonaws.com` | `https://api-atlas.nomic.ai/v1/embedding/text` |
| Transports | HTTP | HTTP |
| Auth | API key | API key |
| Pricing | Pay per use | Freemium |
| Price for embed text | $0.0675 per 1M tokens | $0.10 per 1M tokens |
| x402 | no | no |
| Licence | Proprietary service under the AWS Service Terms. The AWS SDKs are Apache-2.0 | Proprietary hosted API. Model weights Apache-2.0 on Hugging Face. The Python client declares Apache in setup.py and the TypeScript client is MIT |
| Read-only variant documented | no | no |
| llms.txt | yes | no |
| Last release | 2025-10-28 | 2025-11-11 |
| Terms last updated | 2026-10-01 | no document linked |
| Privacy policy last updated | 2026-05-18 | no document linked |
| Customer content may train models | yes, with an opt-out |  |
| Terms restrict automated access | yes |  |
| Terms restrict benchmarking | yes |  |
| Terms or service can change without notice | yes |  |
| Arbitration or class-action waiver | not found in the text |  |
| Popularity | 18.1M npm/wk, 573.7M PyPI/wk | 1.9k stars, 8.6k npm/wk, 3.8k PyPI/wk |

## 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.

**Nomic Embed.** The text models have Apache-2.0 weights and a public OpenAPI 3.1 contract, so vectors made through the hosted endpoint can be reproduced locally. Nomic's current site and documentation index describe a construction-industry product, no rendered public page prices the endpoint, and no published terms or status component name it.

## 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

### Nomic Embed

1. Set task_type to search_query for queries and search_document for stored text. The default is search_document
2. Name the model in every request. The API defaults to nomic-embed-text-v1, while the Python client defaults to nomic-embed-text-v1.5
3. Keep under 1,200 requests per five minutes per IP address. The Python client sends at most 10 texts a request
4. Set long_text_mode to truncate or mean. Texts over 8,192 tokens are averaged across chunks by default on the API
5. Pass dimensionality only with nomic-embed-text-v1.5, between 64 and 768

## Questions

### Which is better for AI agents, Amazon Nova Multimodal Embeddings or Nomic Embed?

Amazon Nova Multimodal Embeddings scores 75 (BB) on agent readiness against Nomic Embed's 49.2 (D), and leads in every scored category.

### Which is cheaper for embed text, Amazon Nova Multimodal Embeddings or Nomic Embed?

Amazon Nova Multimodal Embeddings, at $0.0675 per 1M tokens against $0.10 per 1M tokens for Nomic Embed. These are the vendors' published prices for the job.

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

Both need an API key.

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

Yes. Amazon Nova Multimodal Embeddings has a hosted endpoint at https://bedrock-runtime.us-east-1.amazonaws.com and Nomic Embed at https://api-atlas.nomic.ai/v1/embedding/text.


## For agents

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

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- [Mistral Embed and Codestral Embed vs Nomic Embed](https://www.anchorterminal.com/compare/mistral-embeddings-vs-nomic-embed.md)
- [Nomic Embed vs NVIDIA NeMo Retriever Embedding and Reranking NIMs](https://www.anchorterminal.com/compare/nomic-embed-vs-nvidia-nemo-retriever.md)
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