MiniMax M3

MiniMax M3

MiniMax
Mistral Large

Mistral Large

Mistral AI
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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.

About

Mistral Large is Mistral AI's flagship language model, designed for advanced text generation and complex multilingual reasoning tasks, including text comprehension, transformation, and code generation. It supports English, French, Spanish, German, and Italian, offering a nuanced understanding of grammar and cultural contexts. With a 32,000-token context window, it can accurately recall information from extensive documents. The model's precise instruction-following and native function-calling capabilities facilitate application development and tech stack modernization. Mistral Large is accessible through Mistral's platform, Azure AI Studio, and Azure Machine Learning, and can be self-deployed for sensitive use cases. Benchmark evaluations indicate that Mistral Large achieves strong results, making it the world's second-ranked model generally available through an API, next to GPT-4.

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

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

Audience

Developers interested in a powerful large language model from Mistral AI

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

$0.30 per million input tokens
$0.30 per million input tokens and $1.20 per million output tokens
Free Version Supported
Free Trial Not Supported

Pricing

Free
Open source
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

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

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

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 Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

MiniMax
Founded: 2021
Singapore
www.minimax.io

Company Information

Mistral AI
Founded: 2023
France
mistral.ai

Alternatives

Alternatives

Command A

Command A

Cohere AI
Gemma 3

Gemma 3

Google
Mistral Large 2

Mistral Large 2

Mistral AI
MiniMax

MiniMax

MiniMax AI
Mistral NeMo

Mistral NeMo

Mistral AI

Categories

Categories

AI Code Generators Supported
AI Coding Models Supported
AI Models Supported
Foundation Models Supported

Integrations

BLACKBOX AI Supported
APIPark Not Supported
AnythingLLM Not Supported
Athina AI Not Supported
Azure Marketplace Not Supported
C# Not Supported
Expanse Not Supported
Fireworks AI Supported
Java Not Supported
Lewis Not Supported
Ministral 3B Not Supported
OpenPipe Not Supported
PostgresML Not Supported
ReByte Not Supported
Roo Code Supported
SectorFlow Not Supported
Sesterce Not Supported
Sup AI Not Supported
TypeScript Not Supported
Unify AI Not Supported

Integrations

BLACKBOX AI Supported
APIPark Supported
AnythingLLM Supported
Athina AI Supported
Azure Marketplace Supported
C# Supported
Expanse Supported
Fireworks AI Not Supported
Java Supported
Lewis Supported
Ministral 3B Supported
OpenPipe Supported
PostgresML Supported
ReByte Supported
Roo Code Not Supported
SectorFlow Supported
Sesterce Supported
Sup AI Supported
TypeScript Supported
Unify AI Supported
Claim MiniMax M3 and update features and information
Claim MiniMax M3 and update features and information
Claim Mistral Large and update features and information
Claim Mistral Large and update features and information