Mistral Embed

Mistral

mistral/mistral-embedClosed API

Embedding model for semantic search, retrieval, clustering, and ranking pipelines

Benchmark Pricing$0.10 / 1M in$0.00 / 1M out

Context: 8,000 tokens•Max Output: 3,072 tokens•Released: 2023-12-11

TECHNICAL SPECIFICATIONS

Context Window8,0008K tokens

Max Output3,0723.1K tokens

LicenseProprietaryCloud API only

Input Modalities

Text

Function / Tool CallingNot Supported

Structured OutputsPrompt Based

MODEL CONTEXT PROTOCOL (MCP) READINESS

⚠ Mistral Embed does not natively advertise tool-calling capabilities. When connecting to MCP servers, function calling must be handled via structured prompt injection.

MCP Context Window Recommendations

With a context capacity of 8,000 tokens, this model can handle compact tool sets. Consider keeping MCP server tool manifests minimal to preserve headroom.

API CALL INVOCATION EXAMPLE

// Example: Calling Mistral Embed via OpenAI SDK
import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.MISTRAL_API_KEY,
});

const response = await client.chat.completions.create({
  model: "mistral/mistral-embed",
  messages: [{ role: "user", content: "Hello! Can you inspect MCP tools?" }],
});

console.log(response.choices[0].message.content);