# Amazon Nova Multimodal Embeddings vs NVIDIA NeMo Retriever Embedding and Reranking NIMs (slim)

> Amazon Nova Multimodal Embeddings scores 75 (BB) on agent readiness against NVIDIA NeMo Retriever Embedding and Reranking NIMs's 61 (C), and leads in 4 of 7 scored categories. NVIDIA NeMo Retriever Embedding and Reranking NIMs leads on payments & pricing and maintenance &…

- Full: https://www.anchorterminal.com/compare/amazon-nova-embeddings-vs-nvidia-nemo-retriever.md (~2,900 tokens) · this version ~830 tokens · JSON https://www.anchorterminal.com/compare/amazon-nova-embeddings-vs-nvidia-nemo-retriever.json · canonical https://www.anchorterminal.com/compare/amazon-nova-embeddings-vs-nvidia-nemo-retriever
- Index: https://www.anchorterminal.com/llms.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 NVIDIA NeMo Retriever Embedding and Reranking NIMs's 61 (C), and leads in 4 of 7 scored categories. NVIDIA NeMo Retriever Embedding and Reranking NIMs leads on payments & pricing and maintenance & community. Both do embed text.

- Amazon Nova Multimodal Embeddings: BB 75, rank #59 of 842 · https://www.anchorterminal.com/tools/amazon-nova-embeddings.min.md
- NVIDIA NeMo Retriever Embedding and Reranking NIMs: C 61, rank #439 of 842 · https://www.anchorterminal.com/tools/nvidia-nemo-retriever.min.md
- Amazon Nova Multimodal Embeddings, 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 53; Agent ergonomics, 78 against 73; Security & auth, 91 against 55; Transparency & trust, 79 against 71. Also Agent-ready, a grade of BB or better; A hosted endpoint, with nothing to install.
- NVIDIA NeMo Retriever Embedding and Reranking NIMs, good for Teams that already run NVIDIA GPUs and need embedding and reranking inside their own network, including page-image retrieval with the VL models. Ahead on Payments & pricing, 40 against 30; Maintenance & community, 57 against 50. Also No key needed to call it.

| Category | Amazon Nova Multimodal Embeddings | NVIDIA NeMo Retriever Embedding and Reranking NIMs |
| --- | --- | --- |
| Reliability (16%) | 95 | 53 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 76 | 78 |
| Agent ergonomics (13%) | 78 | 73 |
| Security & auth (14%) | 91 | 55 |
| Payments & pricing (10%) | 30 | 40 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 50 | 57 |
| Transparency & trust (7%) | 79 | 71 |

| Fact (where they differ) | Amazon Nova Multimodal Embeddings | NVIDIA NeMo Retriever Embedding and Reranking NIMs |
| --- | --- | --- |
| Vendor | Amazon Web Services | NVIDIA |
| Hosted endpoint | `https://bedrock-runtime.us-east-1.amazonaws.com` | no (local only) |
| Auth | API key | None |
| Pricing | Pay per use | Freemium |
| Price for embed text | $0.0675 per 1M tokens | not published |
| Licence | Proprietary service under the AWS Service Terms. The AWS SDKs are Apache-2.0 | Proprietary containers under the NVIDIA Software Licence Agreement and Product-Specific Terms for AI Products. Models carry their own licences, such as OpenMDW 1.1 for `nvidia/nemotron-3-embed-1b` and the NVIDIA Open Model Licence for the Llama Nemotron models |
| llms.txt | yes | no |
| Last release | 2025-10-28 | 2026-08-05 |
| Terms last updated | 2026-10-01 | 2026-05-07 |
| Privacy policy last updated | 2026-05-18 | no date given |
| Customer content may train models | yes, with an opt-out | not found in the text |
| Terms restrict automated access | yes | not found in the text |
| Terms or service can change without notice | yes | not found in the text |
| Popularity | 18.1M npm/wk, 573.7M PyPI/wk | 134k PyPI/wk |