Mistral AI: Mistral Medium 3.1

Name: Mistral Medium 3.1 API
Brand: Mistral

stable

Mistral Medium 3.1 is available through Everstack's OpenAI-compatible gateway with routing, fallback, retries, and observability.

mistral-medium-2508mistral-mediumreleased Aug 12, 2025

Provider Quick start

Context

262.1K

tokens

Max output

262.1K

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

262.1K$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-2508
Family: mistral-medium
Status: stable
Knowledge: May 1, 2025
Released: Aug 12, 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-2508",  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-2508

Auth env

MISTRAL_API_KEY

Mistral Medium 3.1 FAQ

How much does the Mistral Medium 3.1 API cost?

Through Mistral AI, Mistral Medium 3.1 costs $0.40 per 1M input tokens and $2.00 per 1M output tokens.

What is the context window of Mistral Medium 3.1?

Mistral Medium 3.1 accepts up to 262.1K tokens of context and returns up to 262.1K output tokens on Mistral AI.

What can Mistral Medium 3.1 do?

Mistral Medium 3.1 supports chat, function calling and image input. It accepts text and image input.

How do I call Mistral Medium 3.1 through Everstack?

Point any OpenAI-compatible SDK at your Everstack gateway and set the model to @mistral/mistral-medium-2508. Everstack adds retries, provider fallback, caching, per-tenant budgets and OpenTelemetry traces for every request.