Mistral AI: Mistral Embed

One API key. Live prices. Ready-to-run code.

Mistral Embed is Mistral AI's general-purpose text embedding model for retrieval, classification and similarity search.

Served on OneInfer by Ec5d66c0fd0b41aa8f7a06718603c6b8. Use it with the same API key and pay-as-you-go wallet as every other model in the catalog.

ProviderEc5d66c0fd0b41aa8f7a06718603c6b8mistralai/Mistral-Embed-2312

Call Mistral Embed in 4 steps

Step 1 of 4

Create a key in the Console. The same key works for every model on OneInfer.

OverviewProvidersPricingBenchmarksAPI and quickstartReviews
Context
8K
Input
text
Output
embeddings
Tool calling
Not listed

About this model

Mistral Embed is Mistral AI's general-purpose text embedding model for retrieval, classification and similarity search. It makes 1024-dimension vectors from inputs of up to 8192 tokens.

Input modalities

  • text

    Accepted as model input

Providers

Available routing options for this model through OneInfer.

Pricing

Current OneInfer pricing for this model.

UsagePrice
No public pricing is currently listed for this model.

Performance and benchmarks

Independent evaluations and live cluster operational metrics

We haven’t measured this model yet.

API guide

API docs

  1. Generate your access token

    Use your API key to generate the JWT access token required by the Models API.

  2. Add the JWT token

    Copy the generated JWT token and replace JWT_TOKEN in the example below.

  3. Check your credits

    If your balance is too low, before calling the model.

  4. Run the API example

    Choose your preferred language, copy the example, and send your first model request.

    curl -X POST https://api.oneinfer.ai/v1/ula/embeddings \
  -H "Authorization: Bearer YOUR_JWT_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "mistralai/Mistral-Embed-2312",
  "input": [
    "OneInfer routes each request to a provider.",
    "Embeddings turn text into vectors."
  ]
}'

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