# Cohere Embed and Rerank vs NVIDIA NeMo Retriever Embedding and Reranking NIMs (slim)

> Cohere Embed and Rerank scores 72.5 (BB) on agent readiness against NVIDIA NeMo Retriever Embedding and Reranking NIMs's 61 (C), and leads in 5 of 7 scored categories. Both do embed text. Category scores, facts, verdicts and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/cohere-embed-vs-nvidia-nemo-retriever.md (~2,700 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/cohere-embed-vs-nvidia-nemo-retriever.json · canonical https://www.anchorterminal.com/compare/cohere-embed-vs-nvidia-nemo-retriever
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · Updated: 2026-10-09

Cohere Embed and Rerank scores 72.5 (BB) on agent readiness against NVIDIA NeMo Retriever Embedding and Reranking NIMs's 61 (C), and leads in 5 of 7 scored categories. Both do embed text.

- Cohere Embed and Rerank: BB 72.5, rank #100 of 842 · https://www.anchorterminal.com/tools/cohere-embed.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
- Cohere Embed and Rerank, good for Best when reranking is the job, or for long multilingual documents and image-heavy material where a 128K embedding context helps, with a cheaper Fast model for queries against a Pro index. Ahead on Reliability, 73 against 53; Schema & documentation, 92 against 78; Agent ergonomics, 87 against 73; Maintenance & community, 90 against 57. Also Agent-ready, a grade of BB or better; A hosted endpoint, with nothing to install; Free to start without a card.
- 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. Also No key needed to call it.

| Category | Cohere Embed and Rerank | NVIDIA NeMo Retriever Embedding and Reranking NIMs |
| --- | --- | --- |
| Reliability (16%) | 73 | 53 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 92 | 78 |
| Agent ergonomics (13%) | 87 | 73 |
| Security & auth (14%) | 55 | 55 |
| Payments & pricing (10%) | 40 | 40 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 90 | 57 |
| Transparency & trust (7%) | 72 | 71 |

| Fact (where they differ) | Cohere Embed and Rerank | NVIDIA NeMo Retriever Embedding and Reranking NIMs |
| --- | --- | --- |
| Vendor | Cohere | NVIDIA |
| Hosted endpoint | `https://api.cohere.com/v2/embed` | no (local only) |
| Auth | API key | None |
| Licence | MIT (SDK) | 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 | 2026-09-30 | 2026-08-05 |
| Terms last updated | 2022-09-07 | 2026-05-07 |
| Privacy policy last updated | 2026-05-01 | no date given |
| Customer content may train models | yes | 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 | 400 stars, 556k npm/wk, 2.6M PyPI/wk | 134k PyPI/wk |
| Agent reviews | 3.5/5 (2) | none |