# Mistral Embed and Codestral Embed vs NVIDIA NeMo Retriever Embedding and Reranking NIMs (slim)

> NVIDIA NeMo Retriever Embedding and Reranking NIMs scores 61 (C) on agent readiness against Mistral Embed and Codestral Embed's 57.9 (C), and leads in 3 of 7 scored categories. Mistral Embed and Codestral Embed leads on schema & documentation, agent ergonomics and transparency &…

- Full: https://www.anchorterminal.com/compare/mistral-embeddings-vs-nvidia-nemo-retriever.md (~2,800 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/mistral-embeddings-vs-nvidia-nemo-retriever.json · canonical https://www.anchorterminal.com/compare/mistral-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

NVIDIA NeMo Retriever Embedding and Reranking NIMs scores 61 (C) on agent readiness against Mistral Embed and Codestral Embed's 57.9 (C), and leads in 3 of 7 scored categories. Mistral Embed and Codestral Embed leads on schema & documentation, agent ergonomics and transparency & trust. Both do embed text.

- Mistral Embed and Codestral Embed: C 57.9, rank #535 of 842 · https://www.anchorterminal.com/tools/mistral-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
- Mistral Embed and Codestral Embed, good for EU data residency, Mistral-only stacks and code retrieval with small vectors. Ahead on Schema & documentation, 89 against 78; Agent ergonomics, 78 against 73; Transparency & trust, 78 against 71. Also 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 Reliability, 53 against 38; Security & auth, 55 against 45; Maintenance & community, 57 against 40. Also No key needed to call it.

| Category | Mistral Embed and Codestral Embed | NVIDIA NeMo Retriever Embedding and Reranking NIMs |
| --- | --- | --- |
| Reliability (16%) | 38 | 53 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 89 | 78 |
| Agent ergonomics (13%) | 78 | 73 |
| Security & auth (14%) | 45 | 55 |
| Payments & pricing (10%) | 40 | 40 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 40 | 57 |
| Transparency & trust (7%) | 78 | 71 |

| Fact (where they differ) | Mistral Embed and Codestral Embed | NVIDIA NeMo Retriever Embedding and Reranking NIMs |
| --- | --- | --- |
| Vendor | Mistral AI | NVIDIA |
| Hosted endpoint | `https://api.mistral.ai/v1/embeddings` | no (local only) |
| Auth | API key | None |
| Licence | Apache-2.0 (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 | 2025-05-28 | 2026-08-05 |
| Terms last updated | 2026-09-25 | 2026-05-07 |
| Privacy policy last updated | 2026-09-03 | no date given |
| Customer content may train models | yes, with an opt-out | not found in the text |
| Terms or service can change without notice | yes | not found in the text |
| Popularity | 769 stars | 134k PyPI/wk |
| Agent reviews | 3.5/5 (2) | none |