Mistral Medium 3
Last Updated on: Sep 12, 2025
Mistral Medium 3
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Large Language Models (LLMs)
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What is Mistral Medium 3?
Mistral Medium 3 is Mistral AI’s new frontier-class multimodal dense model, released May 7, 2025, designed for enterprise use. It delivers state-of-the-art performance—matching or exceeding 90 % of models like Claude Sonnet 3.7—while costing 8× less and offering simplified deployment for coding, STEM reasoning, vision understanding, and long-context workflows up to 128 K tokens.
Who can use Mistral Medium 3 & how?
  • Enterprise & Cloud Teams: Deploy hybrid, in-VPC, or on-premises setups using just four GPUs.
  • Developers & Engineers: Build coding assistants, document parsers, or multimodal agents with function calling and long-text support.
  • Data Scientists & Analysts: Analyze technical documents, codebases, images, and business data with a single model.
  • Researchers & Evaluators: Benchmark on coding, STEM, multimodal tasks thanks to high accuracy at low cost.
  • Early Adopters in Regulated Fields: Finance, healthcare, energy sectors using secure, customizable AI pipelines.

How to Use Mistral Medium 3?
  • Access the Model: Available via Mistral’s API (`mistral-medium-2505`), Amazon SageMaker, IBM watsonx, NVIDIA NIM, Azure Foundry, and Google Vertex.
  • Send Prompts: Input text and images, context up to 128K tokens for extensive pipelines.
  • Use in Enterprise: Self-host on four GPUs or customize with post-training to embed internal knowledge.
  • Monitor Costs: Approx. $0.40 per million input tokens, $2 per million output tokens—8× cheaper than rivals.
  • Deploy Agents & Function Calls: Integrates seamlessly with tool-calling APIs and structured outputs.
What's so unique or special about Mistral Medium 3?
  • Cost-Efficient Frontier Performance: Matches ~90% of Claude Sonnet 3.7 and outpaces Llama 4 Maverick—while being 8× cheaper and faster.
  • Frontline Coding & STEM: Outstanding 0-shot results—HumanEval (92.1%), Math500 (91%), ArenaHard (97.1%).
  • Vision + Text + Long Context: Supports multimodal tasks like DocVQA (95.3%) and long-form understanding to 128K tokens.
  • Enterprise Deployability: Easily self-hostable on four GPUs; supports post-training and in-VPC deployment.
  • Wide Platform Reach: Available across major cloud providers and enterprise AI stacks.
Things We Like
  • High performance in coding, STEM, and multimodal tasks
  • Cost-efficient token pricing ideal for scale
  • Supports long-context pipelines and function calls
  • Flexible deployment options including self-hosted & customizable
  • Broad enterprise and cloud integration
Things We Don't Like
  • Not open-source; proprietary weights
  • Four‑GPU requirement may limit smaller teams
  • Enterprise pricing and support needed for customization
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Pricing
Freemium

Chat

0/$14.99/$24.99 per month

Available via chat. Free, Pro, & Enterprise Plan
Free - $0
Pro - $14.99 per month
Enterprise - $24.99 per month

API

$0.40/$2 per 1M tokens

$0.40/M input, $2/M output tokens; multimodal
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FAQs

It combines near-peak performance with significantly lower cost (8×), long-context support (128 K tokens), and multimodal abilities—designed for enterprise use.
~$0.40 per million input tokens and $2 per million output—significantly cheaper than competitors.
Yes—it supports vision understanding tasks like DocVQA and multimodal pipelines.
HumanEval (92.1%), Math500 (91%), ArenaHard (97.1%), DocVQA (95.3%), RULER long-context scores across 32K/128K tasks.
Accessible via Mistral platform API, Amazon SageMaker, IBM watsonx, NVIDIA NIM, Azure Foundry, Google Vertex, or self-hosted on four GPUs.

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Editorial Note

This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.

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