Magistral

Magistral

Mistral AI
MiniMax M3

MiniMax M3

MiniMax
+
+

Related Products

  • ONLYOFFICE Docs
    715 Ratings
    Visit Website
  • Buildium
    2,546 Ratings
    Visit Website
  • LTX
    182 Ratings
    Visit Website
  • TrustInSoft Analyzer
    6 Ratings
    Visit Website
  • RetailEdge
    201 Ratings
    Visit Website
  • FinOpsly
    3 Ratings
    Visit Website
  • Clazar
    95 Ratings
    Visit Website
  • optivalue.ai
    4 Ratings
    Visit Website
  • RallyFuel
    1 Rating
    Visit Website
  • ERA EHS Software
    49 Ratings
    Visit Website

About

Magistral is Mistral AI’s first reasoning‑focused language model family, released in two sizes: Magistral Small, a 24 B‑parameter open‑weight model under Apache 2.0 (downloadable on Hugging Face), and Magistral Medium, a more capable enterprise version available via Mistral’s API, Le Chat platform, and major cloud marketplaces. Built for domain‑specific, transparent, multilingual reasoning across tasks like math, physics, structured calculations, programmatic logic, decision trees, and rule‑based systems, Magistral produces chain‑of‑thought outputs in the user’s language that you can follow and verify. This launch marks a shift toward compact yet powerful transparent AI reasoning. Magistral Medium is currently available in preview on Le Chat, the API, SageMaker, WatsonX, Azure AI, and Google Cloud Marketplace. Magistral is ideal for general-purpose use requiring longer thought processing and better accuracy than with non-reasoning LLMs.

About

MiniMax M3 is an open-weight multimodal AI model designed for coding, agentic workflows, long-context reasoning, and complex automation tasks. The model combines frontier-level coding performance, native multimodal understanding, and a context window of up to 1 million tokens. MiniMax M3 uses MiniMax Sparse Attention to improve long-context efficiency while reducing compute requirements for large-scale inputs. It supports text, image, and video understanding, making it useful for workflows that combine code, documents, visual references, and tool-driven tasks. The model is built for repository-scale reasoning, software engineering, autonomous task execution, tool calling, and multi-step agent workflows. MiniMax M3 helps developers, AI teams, and enterprises build capable agents that can reason across large contexts and work with multimodal information.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Data scientists seeking an AI solution to improve their complex domain‑specific tasks

Audience

MiniMax M3 is best suited for developers, AI engineers, coding assistant builders, enterprise automation teams, research teams, data teams, agent developers, and organizations that need open-weight AI for coding, long-context reasoning, multimodal understanding, tool use, repository analysis, and autonomous workflows

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

$0.30 per million input tokens
$0.30 per million input tokens and $1.20 per million output tokens
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 5.0 / 5
ease 4.0 / 5
features 4.0 / 5

Pros & Cons from Real Users

Pros

  • The multimodal side also makes it more flexible than a code-only model. Being able to work across text, images, video-style understanding, and code gives it more room to support real workflows instead of being boxed into one narrow use case. For agent builders, the best part is that M3 is clearly designed around tool use and multi-step execution. MiniMax specifically calls out autonomous task decomposition and tool invocation, which is exactly what matters when a model is powering coding assistants, workflow agents, or automated dev tools.

Cons

  • The main catch is infrastructure and trust. Even with sparse attention and MoE efficiency, this is still a large model, so deployment is not casual. I would also want to benchmark it on my own repos before depending on it for production work.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Mistral AI
Founded: 2023
France
mistral.ai/news/magistral

Company Information

MiniMax
Founded: 2021
Singapore
www.minimax.io

Alternatives

Mistral Small 4

Mistral Small 4

Mistral AI

Alternatives

Mistral Large 2

Mistral Large 2

Mistral AI
Ministral 3

Ministral 3

Mistral AI
GPT-5.6 Sol

GPT-5.6 Sol

OpenAI
Mistral Large 3

Mistral Large 3

Mistral AI
MiniMax

MiniMax

MiniMax AI
MiniMax M1

MiniMax M1

MiniMax

Categories

Categories

Integrations

Alibaba AI Coding Plan
Amazon SageMaker
BLACKBOX AI
Clawd.run
Cline
ClinePass
Factory Droid
Fireworks AI
Google Cloud Marketplace
Hermes Agent
IBM watsonx
MaxHermes
MiniMax Agent
MiniMax Code
MiniMax Mavis
OpenClaw
OpenCode Zen
OpenTag
Tabbit Browser
Vision Agents

Integrations

Alibaba AI Coding Plan
Amazon SageMaker
BLACKBOX AI
Clawd.run
Cline
ClinePass
Factory Droid
Fireworks AI
Google Cloud Marketplace
Hermes Agent
IBM watsonx
MaxHermes
MiniMax Agent
MiniMax Code
MiniMax Mavis
OpenClaw
OpenCode Zen
OpenTag
Tabbit Browser
Vision Agents
Claim Magistral and update features and information
Claim Magistral and update features and information
Claim MiniMax M3 and update features and information
Claim MiniMax M3 and update features and information