Mistral Embed
Mistral AIMistral AI’s general-purpose text embedding endpoint, mistral-embed-2312: a 1,024-dimension text embedder with an 8k context, sold on La Plateforme at $0.10 per million tokens through /v1/embeddings and the batch API. It is distinct from codestral-embed, Mistral’s later code-specialized embedder.
It exists and it is a distinct product, but it is the oldest thing in this set: version 23.12, dated 2023-12-11, still listed as GA and Premier on Mistral’s own models page and unchanged since. Mistral has since shipped codestral-embed for code retrieval, which is a separate SKU with its own price, so mistral-embed is the general-purpose endpoint rather than the line’s frontier. The only retrieval number Mistral has ever published for it is 55.26 on MTEB retrieval, in the original La Plateforme announcement. Verified 2026-09-11 via the Mistral Embed model card, the Mistral models page and the La Plateforme announcement.
Openness
1 high confidence- weights
- closed(no checkpoint distributed
- data
- closed(training corpus not released or described)
- code
- closed(no training or inference implementation
- license
- proprietary(Premier-tier API model under Mistral’s terms of service
API-only, so the ladder's first rule fires. Worth stating plainly because Mistral is widely read as the open-weights vendor among the frontier labs: that reputation rests on its generative line, and none of it reaches the embedding endpoint, which has never shipped a checkpoint.
- https://docs.mistral.ai/models/model-cards/mistral-embed-23-12 recorded 2026-09-11
The Mistral Embed model card records mistral-embed-2312, GA, Premier, version 23.12 dated 2023-12-11, an 8k context and $0.10 per million tokens, with features limited to the /v1/embeddings and /v1/batch endpoints. No weights, corpus or code.
- https://mistral.ai/models recorded 2026-09-11
Mistral's own models page lists 'Mistral Embed ... Embedding Text-to-text mistral-embed' as an API model, separately from Codestral Embed, and separately from the open-weight models it distributes.
Adoption
2 medium confidenceNo artifact to count and no usage figure published. The level rests on a narrower distribution surface than any other product in this set: Mistral's own La Plateforme and nothing first-party beyond it — no Bedrock, Azure or Vertex resale of the embedding SKU — and Mistral's own attention has moved to codestral-embed for the retrieval use case it markets hardest.
- https://mistral.ai/models recorded 2026-09-11
The models page lists Mistral Embed as one API model among Mistral's catalog, with Codestral Embed carried separately and described as the state-of-the-art embedding offering.
- https://docs.mistral.ai/models/model-cards/mistral-embed-23-12 recorded 2026-09-11
The card records GA and Premier status with a single price and two endpoints; it names no cloud marketplace or third-party distribution.
Capability
2 high confidenceRung 2, narrow or dated, and this is the clearest case of it in the set. 55.26 on MTEB retrieval was a credible number in December 2023 and is far off the current table; the model is text-only, fixed-dimension and short-context, and Mistral has published no re-evaluation in the two and three-quarter years since. Still sold and still useful for its niche, which is what keeps it off rung 1. It is the root of this cluster's comparison chain and carries no relative_to for that reason — every other product in the set is placed against it or through it.
- https://mistral.ai/news/la-plateforme/ recorded 2026-09-11
'Mistral-embed, our embedding endpoint, serves an embedding model with a 1024 embedding dimension. ... This embedding model has been designed with retrieval capabilities in mind. It achieves a retrieval score of 55.26 on MTEB.'
- https://docs.mistral.ai/models/model-cards/mistral-embed-23-12 recorded 2026-09-11
Version 23.12, dated 2023-12-11, context 8k, still GA; no updated benchmark is published on the card.
Verified 2026-09-11