LLM Reference
Mistral AI Studio

Using Mistral Medium on Mistral AI Studio

Implementation guide · Mistral Medium · MistralAI

Serverless

Mistral AI Studio exposes Mistral Medium through model ID mistral-medium-1. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-06-15. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at Mistral AI Studio and generate an API key.
  2. 2
    Use the Mistral AI Studio SDK or REST API to call mistral-medium-1 — see the documentation for request format.
  3. 3
    You'll be billed $1.50/1M input, $7.50/1M output tokens. See full pricing.

Code Examples

See Mistral AI Studio documentation for integration details.

Pricing on Mistral AI Studio

TypePrice (per 1M)
Input tokens$1.50
Output tokens$7.50

Capabilities

Structured Outputs

About Mistral Medium

Mistral Medium is a versatile large language model developed by Mistral AI, designed to handle a wide array of tasks with a robust 32k token context window, allowing it to process approximately 24,000 words. Built on a transformer architecture, it offers native fluency in multiple languages, including English, French, Spanish, German, and Italian, enhancing its multilingual reasoning capabilities. Available via API, Mistral Medium is proprietary and stronger than some of Mistral AI's open-source models like Mixtral 8x7B and Mistral-7B. While it is described as more cost-effective than models such as GPT-4, specific pricing details are not provided 11011.

Model Specs

Released2023-12-11
Context32k
ArchitectureDecoder Only

Provider

Mistral AI Studio
Mistral AI Studio

Mistral AI

Paris, Île-de-France, France