Mistral AI: Mistral Medium 3

Name: Mistral Medium 3 API
Brand: Mistral

stable

Mistral Medium 3 is available through Everstack's OpenAI-compatible gateway with routing, fallback, retries, and observability.

mistral-medium-2505mistral-mediumreleased May 7, 2025

Provider Quick start

Context

131.1K

tokens

Max output

131.1K

tokens

Input

$0.40

per 1M

Output

$2.00

per 1M

Activity

Daily period usage

Aggregated managed Everstack traffic. Buckets below 5 tenants or 100 requests are withheld.

Providers

ProviderContextInput /MOutput /M

Mistral AI

131.1K$0.40$2.00

Pricing

Item	Price	Unit
Input	$0.40	per 1M tokens
Output	$2.00	per 1M tokens

Performance

Reliability

Compare

Compare usage and performance

Place this model beside up to three other catalog models.

Capabilities

Modalities

Input

Output

Details

Model ID: mistral-medium-2505
Family: mistral-medium
Status: stable
Knowledge: May 1, 2025
Released: May 7, 2025

Gateway Config

API: 2024-01-01
Auth: MISTRAL_API_KEY
Discovery: static
Provider type: static

Quick Start

index.ts

import Everstack from "@everstack/node";const client = new Everstack({  apiKey: process.env.EVERSTACK_API_KEY!,  baseUrl: "https://{instance}.{region}.everstack.ai",});const completion = await client.chat.completions.create({  model: "@mistral/mistral-medium-2505",  messages: [{ role: "user", content: "Explain vector cache routing." }],});console.log(completion.choices[0]?.message?.content);

Endpoint

Base URL

https://api.mistral.ai/v1

Chat completions

https://api.mistral.ai/v1/chat/completions

Model

mistral-medium-2505

Auth env

MISTRAL_API_KEY

Mistral Medium 3 FAQ

How much does the Mistral Medium 3 API cost?

Through Mistral AI, Mistral Medium 3 costs $0.40 per 1M input tokens and $2.00 per 1M output tokens.

What is the context window of Mistral Medium 3?

Mistral Medium 3 accepts up to 131.1K tokens of context and returns up to 131.1K output tokens on Mistral AI.

What can Mistral Medium 3 do?

Mistral Medium 3 supports chat, function calling and image input. It accepts text and image input.

How do I call Mistral Medium 3 through Everstack?

Point any OpenAI-compatible SDK at your Everstack gateway and set the model to @mistral/mistral-medium-2505. Everstack adds retries, provider fallback, caching, per-tenant budgets and OpenTelemetry traces for every request.