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Mistral Embed

lx1-mistral-embedEmbeddingsLive in the catalog

Mistral's general-purpose embedding: reliable retrieval quality with a clean, familiar API. A straightforward choice when you're already in the Mistral family and want embeddings that just work.

Max input8K tokens
Input · per Mtok$0.1
Dimensions1,024
Served byLayer X1 engine
Where it earns its keep[01/03]
  • 01Solid general retrieval quality
  • 02Simple, familiar API
  • 03A natural fit beside Mistral chat models
Capabilities
EmbeddingsYes

Turns text into a fixed-length vector for semantic search, RAG, clustering, and dedupe. Call it on /v1/embeddings with a string or array of inputs — no chat, tools, or reasoning.

Behind the endpoint[02/03]

One endpoint. Served by our engine.

Mistral Embed is served through the Layer X1 engine — zero-downtime serving is the design target, not a status-page apology. You request it by name; everything else is our problem.

Call it by name
curl https://api.layerx1.in/v1/embeddings \
  -H "authorization: Bearer lx1_your_key" \
  -H "content-type: application/json" \
  -d '{
    "model": "lx1-mistral-embed",
    "input": "text to embed"
  }'

OpenAI-style clients work too — POST the same model name to /v1/embeddings with a Bearer key. See the docs for both dialects.

Put your agent on real infrastructure

Your agent doesn't change.
Everything underneath does.

$export ANTHROPIC_BASE_URL=https://api.layerx1.in

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