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Magistral Medium (latest)
Magistral Medium (latest)

API OnlyChat & ReasoningtextUpdated March 17, 2025
Some details or benchmark scores on this page are self-reported by developers and unconfirmed.

Magistral Medium (latest)

📌 Model Overview

Mistral reasoning model for transparent analysis, math, and complex decisions

Magistral Medium (latest) is a Api Only model developed by Mistral AI, released on 2025-03-17. It is designed primarily for Chat Reasoning workloads. Featuring a 128K tokens context window and Undisclosed parameter count, it offers robust performance for enterprise integration, developers, and researchers.


✨ Key Features & Capabilities

Specification Table
FeatureDescription
Context Window128K tokens capacity for extended prompts and multi-turn workflows
Primary TaskOptimized for Chat Reasoning
Deploymentapi-only
Modalitytext
Max OutputMax Output: 16K tokens
Native reasoning capabilityNative reasoning capability
Tool / function calling supportTool / function calling support

⚙️ Technical Specifications

Specification Table
SpecificationDetails
Developer / LabMistral AI
Release Date2025-03-17
Model TypeApi Only
ParametersUndisclosed
Context Window128K tokens
LicenseProprietary
Model Familymagistral-medium

💰 Pricing

Specification Table
Tier / UnitRate (USD)
1M input tokens$2
1M output tokens$5

📜 License & Usage

This model is governed by the Proprietary license. Please check official developer guidelines before commercial deployment.

Key Features

Max Output: 16K tokens

Feature 01

Native reasoning capability

Feature 02

Tool / function calling support

Feature 03

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Verified Sources

Tags

reasoningtool-calling

Model Specs

api-only

Parameters

Undisclosed

Context Window

128K tokens

License

Proprietary

Deployment

api-only

Pricing

  • 1M input tokens$2
  • 1M output tokens$5

as of 2026-07-26

Lineage

Model Family

Part of the magistral-medium family

Only release in this line currently tracked.

Curator Notes

Skeleton entry imported from models.dev backfill (2026-07-26). Needs manual enrichment and primary-source verification.

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