MiniMax M3

MiniMax M3

MiniMax
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About

MiniMax Agent is an AI super-companion that helps you think faster and achieve more by combining a natural-language chat interface with a suite of creativity, productivity, and learning tools. Its modules include a meditation audio generator for calming, three-minute guided sessions; a podcast assistant for scripting and episode planning; a code builder and debugger that writes, refactors and explains code; a data analyst for charting and interpreting datasets; an itinerary planner that creates detailed, multi-day trip schedules; a story crafter for children’s picture books with illustration prompts; interactive quiz maker to turn any topic into engaging learning exercises; a fact-checker that verifies citations and sources; a stock insight tool that analyzes performance and suggests strategies; a video brainstormer for naming projects and generating domain ideas; and a tech finder for discovering the latest gadgets.

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

Professionals, creators and lifelong learners needing a solution to streamline tasks, spark ideas and enhance productivity through natural-language interaction

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 Not Supported
24/7 Live Support Not Supported
Online Supported

Support

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

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

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

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:

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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 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
agent.minimax.io

Company Information

MiniMax
Founded: 2021
Singapore
www.minimax.io

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Categories

Agentic AI Supported
AI Agents Supported

Categories

Integrations

OpenClaw Supported
APIFree Not Supported
Alibaba AI Coding Plan Not Supported
Claude Code Not Supported
Claude Cowork Supported
Clawd.run Not Supported
Cline Not Supported
ClinePass Not Supported
Factory Droid Not Supported
Fireworks AI Not Supported
Hermes Agent Not Supported
Kilo Code Not Supported
MaxHermes Not Supported
MiniMax Agent Not Supported
MiniMax M2.7 Supported
MiniMax M3.1 Flash Supported
OpenCode Go Not Supported
OpenCode Zen Not Supported
Roo Code Not Supported
Vision Agents Not Supported

Integrations

OpenClaw Supported
APIFree Supported
Alibaba AI Coding Plan Supported
Claude Code Supported
Claude Cowork Not Supported
Clawd.run Supported
Cline Supported
ClinePass Supported
Factory Droid Supported
Fireworks AI Supported
Hermes Agent Supported
Kilo Code Supported
MaxHermes Supported
MiniMax Agent Supported
MiniMax M2.7 Not Supported
MiniMax M3.1 Flash Not Supported
OpenCode Go Supported
OpenCode Zen Supported
Roo Code Supported
Vision Agents Supported
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