Start typing to search.
mistralai/mistral-embed-2312
Mistral Embed is a specialized embedding model for text data, optimized for semantic search and RAG applications. Developed by Mistral AI in late 2023, it produces 1024-dimensional vectors that effectively...
Visual comparison
Compare published endpoint pricing visually.
USD per unit for prompt. Lower is better.
Only directly comparable published units are charted.
Server-rendered comparison
Prices are shown only in the units published by OpenRouter; cross-unit rankings are intentionally omitted. Missing speed data never removes an endpoint.
| Provider / route | Current pricing | Speed measurements | Endpoint details |
|---|---|---|---|
Provider / route Mistral mistral | Current pricing
| Speed measurements
| Endpoint details
9 parametersfrequency_penalty, max_tokens, presence_penalty, response_format, seed, stop, structured_outputs, temperature, top_p |
Endpoint data fetched .
Mistral Embed 2312 deployment guide
Mistral Embed 2312 is indexed here as a embeddings model by Mistral, with 1 provider endpoint from Mistral. The comparison preserves each exact OpenRouter routing tag so pricing and performance observations can be connected to the route an application would actually request.
The model publishes a 8.2K-token context window. It accepts text input and returns embeddings output. 9 distinct supported parameters appear across the listed routes. Confirm limits on the specific endpoint rather than assuming every host exposes the same configuration.
At least one unit is published consistently across the listed endpoints, allowing a direct price chart for prompt. Other charges remain in the table using OpenRouter’s exact billing labels.
Published endpoint formats include unknown. Availability, rate limits, and regional support can change independently of catalog pricing, so confirm the selected routing tag before production deployment.
