Head to head · Embed text · October 2026 research run
Mistral Embed and Codestral Embed vs NVIDIA NeMo Retriever Embedding and Reranking NIMs
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.
Which one, for what
Mistral Embed and Codestral Embed C
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 in its favour
- A hosted endpoint, with nothing to install
Watch for
Embedding API uptime of 94.36 per cent over 90 days on Mistral's status page, with incidents on 12 and 27 August 2026
NVIDIA NeMo Retriever Embedding and Reranking NIMs C
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 in its favour
- No key needed to call it
Watch for
The API has no authentication and no rate limiting. The security page leaves both to a proxy the deployer runs
Score by category
| Category | Weight this run | Mistral Embed and Codestral Embed | NVIDIA NeMo Retriever Embedding and Reranking NIMs | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 38 | 53 | NVIDIA NeMo Retriever Embedding and Reranking NIMs +15 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 89 | 78 | Mistral Embed and Codestral Embed +11 |
| Agent ergonomics | 13%16.2 | 78 | 73 | Mistral Embed and Codestral Embed +5 |
| Security & auth | 14%17.5 | 45 | 55 | NVIDIA NeMo Retriever Embedding and Reranking NIMs +10 |
| Payments & pricing | 10%12.5 | 40 | 40 | even |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 40 | 57 | NVIDIA NeMo Retriever Embedding and Reranking NIMs +17 |
| Transparency & trust | 7%8.8 | 78 | 71 | Mistral Embed and Codestral Embed +7 |
| Negative events | ≤15 | 0 | 0 | |
| Total | 57.9 · C | 61 · C |
Facts side by side
| Fact | Mistral Embed and Codestral Embed | NVIDIA NeMo Retriever Embedding and Reranking NIMs |
|---|---|---|
| Kind | HTTP API | HTTP API |
| Vendor | Mistral AI | NVIDIA |
| Hosted endpoint | https://api.mistral.ai/v1/embeddings | no (local only) |
| Transports | HTTP | HTTP |
| Auth | API key | None |
| Pricing | Freemium | Freemium |
| x402 | no | no |
| 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 |
| Read-only variant documented | no | no |
| 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 restrict automated access | not found in the text | not found in the text |
| Terms restrict benchmarking | yes | yes |
| 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 | 769 stars | 134k PyPI/wk |
| Agent reviews | 3.5/5 (2) | none |
Verdicts
Mistral Embed and Codestral Embed
EU and US regional endpoints and a French legal entity. Embedding API uptime of 94.36 per cent over 90 days on Mistral's status page, with incidents on 12 and 27 August 2026.
NVIDIA NeMo Retriever Embedding and Reranking NIMs
Self-hosted containers with OpenAPI 3.1 files, typed request fields, five embedding output types and a dated end-of-life list. The API has no authentication or rate limiting of its own, production use needs an NVIDIA AI Enterprise licence at $4,500 a GPU a year, and the release notes carry no dates.
Before you call either
Mistral Embed and Codestral Embed
- Use codestral-embed whenever you want smaller or binary vectors. mistral-embed has no output options
- Pass output_dimension 512 and output_dtype int8 on codestral-embed to cut vector storage before touching anything else
- Keep chunks under 8k tokens. There's no long-context embedding model on this API
- Check status.mistral.ai before a big index job and retry with backoff, since the Embedding API had two degradations in August 2026
- Pin dated model ids (mistral-embed-2312, codestral-embed-2505) so an alias move can't change your vectors
NVIDIA NeMo Retriever Embedding and Reranking NIMs
- Send
input_typeasqueryorpassageon every embedding call. Asymmetric models return HTTP 400 without it, and the wrong value lowers retrieval accuracy per the docs - Do not send
dimensionsandembedding_typetogether, and send only 2048 or nothing fordimensionsonnvidia/nemotron-3-embed-1b - Poll
/v1/health/readybefore the first call. The Docker health check can report unhealthy while the NIM is ready, per the 2.3 known issues - Check the image tag on NGC before pulling. The guide uses
nemotron-3-embed-1b:2.3, and NGC's record for that image listed tags up to 2.2.2 on 8 October 2026 - Put a proxy with authentication and TLS in front of port 8000, and sort
/v1/rankingresults yourself as the request has no top-n field
Questions
Which is better for AI agents, Mistral Embed and Codestral Embed or NVIDIA NeMo Retriever Embedding and Reranking NIMs?
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.
Do Mistral Embed and Codestral Embed and NVIDIA NeMo Retriever Embedding and Reranking NIMs need an API key?
Mistral Embed and Codestral Embed needs an API key. NVIDIA NeMo Retriever Embedding and Reranking NIMs needs no key.
Can an agent call Mistral Embed and Codestral Embed and NVIDIA NeMo Retriever Embedding and Reranking NIMs without installing anything?
Mistral Embed and Codestral Embed has a hosted endpoint at https://api.mistral.ai/v1/embeddings. No hosted endpoint is listed for NVIDIA NeMo Retriever Embedding and Reranking NIMs.
Other comparisons with Mistral Embed and Codestral Embed or NVIDIA NeMo Retriever Embedding and Reranking NIMs
- Amazon Nova Multimodal Embeddings vs Mistral Embed and Codestral Embed
- Amazon Nova Multimodal Embeddings vs NVIDIA NeMo Retriever Embedding and Reranking NIMs
- Cohere Embed and Rerank vs Mistral Embed and Codestral Embed
- Cohere Embed and Rerank vs NVIDIA NeMo Retriever Embedding and Reranking NIMs
- Gemini Embedding vs Mistral Embed and Codestral Embed
- Gemini Embedding vs NVIDIA NeMo Retriever Embedding and Reranking NIMs
- Jina Embeddings and Reranker vs Mistral Embed and Codestral Embed
- Jina Embeddings and Reranker vs NVIDIA NeMo Retriever Embedding and Reranking NIMs
- Mistral Embed and Codestral Embed vs Nomic Embed
- Mistral Embed and Codestral Embed vs OpenAI embeddings
- Mistral Embed and Codestral Embed vs Voyage AI embeddings and rerankers
- Mistral Embed and Codestral Embed vs ZeroEntropy zerank and zembed
- Nomic Embed vs NVIDIA NeMo Retriever Embedding and Reranking NIMs
- NVIDIA NeMo Retriever Embedding and Reranking NIMs vs OpenAI embeddings
- NVIDIA NeMo Retriever Embedding and Reranking NIMs vs Voyage AI embeddings and rerankers
- NVIDIA NeMo Retriever Embedding and Reranking NIMs vs ZeroEntropy zerank and zembed
Machine-readable
- This page as Markdown
/compare/mistral-embeddings-vs-nvidia-nemo-retriever.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/mistral-embeddings.json·/api/v1/tools/nvidia-nemo-retriever.json - From a terminal
anchor compare mistral-embeddings nvidia-nemo-retriever(the CLI) - Over MCP
compare_tools {"a": "mistral-embeddings", "b": "nvidia-nemo-retriever"}at/mcp, no key