Enterprise DNAEnterprise DNA
LModelsBest vision
Mistral logo

Mistral Medium 3

by Mistral

Mistral Medium 3 is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances state-

MM

Models

Mistral Medium 3

Added 10 July 2026

#mistralai

Overview

Mistral Medium 3 is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances state-of-the-art reasoning and multimodal performance with 8× lower cost...

How to use / API access

Call via OpenRouter with model id `mistralai/mistral-medium-3`.

  • openrouter · mistralai/mistral-medium-3 Docs

OpenRouter id: mistralai/mistral-medium-3

Benchmarks

  • Intelligence Index (artificial-analysis): 9 index
  • Design Arena 3d (other): 1084 elo · #91
  • Design Arena codecategories (other): 1071 elo · #108
  • Design Arena dataviz (other): 1034 elo · #110
  • Design Arena gamedev (other): 1019 elo · #116

Notes

Mistral Medium 3 is listed in the EDNA Models directory from the OpenRouter catalogue.

Free 27-page guide

Get the free Developer’s Field Guide

A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.

Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.

No spam. Unsubscribe any time.

USAGE / OPENROUTER

How much Mistral Medium 3 is used

Tokens processed through OpenRouter each day. It shows what developers actually run, not every company's private traffic.

Tokens, last 7 days
1.4B ▲133%
Requests, last 7 days
130K
Tool calls, last 7 days
59.4K
Intelligence score
9
Average cost per request
4.5¢
Price per million tokens
$0.4 in · $2 out
0500M1B19 Sept: 41.1M tokens, 10.6K requests20 Sept: 80.4M tokens, 16.9K requests21 Sept: 32.5M tokens, 7.9K requests22 Sept: 49.8M tokens, 9.9K requests23 Sept: 48.8M tokens, 11K requests24 Sept: 37.9M tokens, 5.6K requests25 Sept: 99.9M tokens, 9.7K requests26 Sept: 46.4M tokens, 5.2K requests27 Sept: 134M tokens, 7.5K requests28 Sept: 66.8M tokens, 26.9K requests29 Sept: 27M tokens, 9.3K requests30 Sept: 51.5M tokens, 13.9K requests1 Oct: 30.9M tokens, 9.2K requests2 Oct: 122M tokens, 24.9K requests3 Oct: 112M tokens, 17.1K requests4 Oct: 85M tokens, 9K requests5 Oct: 96.1M tokens, 11.4K requests6 Oct: 92M tokens, 17.3K requests7 Oct: 145M tokens, 18.9K requests8 Oct: 172M tokens, 24.4K requests9 Oct: 39.1M tokens, 10.1K requests10 Oct: 25.4M tokens, 14.1K requests11 Oct: 23.3M tokens, 9.7K requests12 Oct: 52.6M tokens, 13.2K requests13 Oct: 308M tokens, 21.9K requests14 Oct: 773M tokens, 46.1K requests15 Oct: 25.8M tokens, 13.9K requests16 Oct: 38.3M tokens, 12.5K requests17 Oct: 27.1M tokens, 7K requests18 Oct: 160M tokens, 15.6K requests19 Sept3 Oct17 Oct18 OctSee where it ranks on the leaderboard →

FROM SPECIFICATIONS TO YOUR WORK

Is this the right model for your job?

Start with a realistic sample. These workflows match the model’s listed capabilities, not a verified result on your task.

Check the source

Price date: 2026-10-18. Prices are USD API token rates. Your app subscription, uploads, browsing and tools are separate.

Model source & availability ↗

Understand the evidence

Listed capabilities and third-party benchmark scores do not establish Enterprise DNA task-test results. Validate accuracy and total cost on your own sample.

Intelligence Index: 9 (2026-10-18) ↗
Compare this model with alternatives →