Mistral AI: Mistral Embed
stableMistral Embed is available through Everstack's OpenAI-compatible gateway with routing, fallback, retries, and observability.
mistral-embedembeddingreleased Dec 11, 2023
Context
8K
tokens
Max output
3.1K
tokens
Input
$0.10
per 1M
Output
-
per 1M
Activity
Daily period usage
Aggregated managed Everstack traffic. Buckets below 5 tenants or 100 requests are withheld.
Providers
ProviderContextInput /MOutput /M
Pricing
| Item | Price | Unit |
|---|---|---|
| Input | $0.10 | per 1M tokens |
| Output | - | per 1M tokens |
Performance
Reliability
Compare
Compare usage and performance
Place this model beside up to three other catalog models.
Capabilities
Capabilities
Modalities
Input
Output
Details
- Model ID
- mistral-embed
- Family
- embedding
- Status
- stable
- Knowledge
- -
- Released
- Dec 11, 2023
Gateway Config
- API
- 2024-01-01
- Auth
- MISTRAL_API_KEY
- Discovery
- static
- Provider type
- static
Quick Start
index.ts
Endpoint
Base URL
https://api.mistral.ai/v1Chat completions
https://api.mistral.ai/v1/chat/completionsModel
mistral-embedAuth env
MISTRAL_API_KEYMistral Embed FAQ
How much does the Mistral Embed API cost?
Through Mistral AI, Mistral Embed costs $0.10 per 1M input tokens.
What is the context window of Mistral Embed?
Mistral Embed accepts up to 8K tokens of context and returns up to 3.1K output tokens on Mistral AI.
What can Mistral Embed do?
Mistral Embed supports chat. It accepts text input.
How do I call Mistral Embed through Everstack?
Point any OpenAI-compatible SDK at your Everstack gateway and set the model to @mistral/mistral-embed. Everstack adds retries, provider fallback, caching, per-tenant budgets and OpenTelemetry traces for every request.
