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Mistral: Mistral Embed 2312

mistralai/mistral-embed-2312

Created Oct 31, 20258,192 context
$0.10/M input tokens$0/M output tokens

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 capture semantic relationships in text.

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Providers for Mistral Embed 2312

OpenRouter routes requests to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.

Performance for Mistral Embed 2312

Compare different providers across OpenRouter

Apps using Mistral Embed 2312

Top public apps this month

Recent activity on Mistral Embed 2312

Total usage per day on OpenRouter

Prompt
5.47M
Completion
0
Reasoning
0

Prompt tokens measure input size. Reasoning tokens show internal thinking before a response. Completion tokens reflect total output length.

Uptime stats for Mistral Embed 2312

Uptime stats for Mistral Embed 2312 across all providers

Sample code and API for Mistral Embed 2312

OpenRouter normalizes requests and responses across providers for you.

OpenRouter provides an OpenAI-compatible embeddings API that you can call directly, or using the OpenAI SDK.

In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.

Using third-party SDKs

For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.

See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.