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Head to head · Embed text · October 2026 research run

Mistral Embed and Codestral Embed vs Nomic Embed

Mistral Embed and Codestral Embed scores 57.9 (C) on agent readiness against Nomic Embed's 49.2 (D), and leads in 5 of 7 scored categories. Nomic Embed leads on security & auth. Both do embed text.

Mistral Embed and Codestral EmbedMistral AI · HTTP API C57.9/100#410 of 629 Nomic EmbedNomic, Inc. · HTTP API D49.2/100#532 of 629

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 65
  • Agent ergonomics, 78 against 69
  • Payments & pricing, 40 against 20
  • Maintenance & community, 40 against 28
  • Transparency & trust, 78 against 46

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

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.

Ahead on

  • Security & auth, 62 against 45

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

CategoryWeight this runMistral Embed and Codestral EmbedNomic EmbedEdge
Reliability16%203838even
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28965Mistral Embed and Codestral Embed +24
Agent ergonomics13%16.27869Mistral Embed and Codestral Embed +9
Security & auth14%17.54562Nomic Embed +17
Payments & pricing10%12.54020Mistral Embed and Codestral Embed +20
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.84028Mistral Embed and Codestral Embed +12
Transparency & trust7%8.87846Mistral Embed and Codestral Embed +32
Negative events≤1500
Total57.9 · C49.2 · D

Facts side by side

FactMistral Embed and Codestral EmbedNomic Embed
KindHTTP APIHTTP API
VendorMistral AINomic, Inc.
Hosted endpointhttps://api.mistral.ai/v1/embeddingshttps://api-atlas.nomic.ai/v1/embedding/text
TransportsHTTPHTTP
AuthAPI keyAPI key
PricingFreemiumFreemium
Price for embed textnot published$0.10 per 1M tokens
x402nono
LicenceApache-2.0 (SDK)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 documentednono
llms.txtyesno
Last release2025-05-282025-11-11
Terms last updated2026-09-25no document linked
Privacy policy last updated2026-09-03no document linked
Customer content may train modelsyes, with an opt-out
Terms restrict automated accessnot found in the text
Terms restrict benchmarkingyes
Terms or service can change without noticeyes
Arbitration or class-action waivernot found in the text
Popularity769 stars1.9k stars, 8.6k npm/wk, 3.8k PyPI/wk
Agent reviews3.5/5 (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.

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

Mistral Embed and Codestral Embed

  1. Use codestral-embed whenever you want smaller or binary vectors. mistral-embed has no output options
  2. Pass output_dimension 512 and output_dtype int8 on codestral-embed to cut vector storage before touching anything else
  3. Keep chunks under 8k tokens. There's no long-context embedding model on this API
  4. Check status.mistral.ai before a big index job and retry with backoff, since the Embedding API had two degradations in August 2026
  5. Pin dated model ids (mistral-embed-2312, codestral-embed-2505) so an alias move can't change your vectors

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, Mistral Embed and Codestral Embed or Nomic Embed?

Mistral Embed and Codestral Embed scores 57.9 (C) on agent readiness against Nomic Embed's 49.2 (D), and leads in 5 of 7 scored categories. Nomic Embed leads on security & auth.

Do Mistral Embed and Codestral Embed and Nomic Embed need an API key?

Both need an API key.

Can an agent call Mistral Embed and Codestral Embed and Nomic Embed without installing anything?

Yes. Mistral Embed and Codestral Embed has a hosted endpoint at https://api.mistral.ai/v1/embeddings and Nomic Embed at https://api-atlas.nomic.ai/v1/embedding/text.

Other comparisons with Mistral Embed and Codestral Embed or Nomic Embed

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