MiniMax M3

MiniMax M3

MiniMax
T5

T5

Google
+
+

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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

With T5, we propose reframing all NLP tasks into a unified text-to-text-format where the input and output are always text strings, in contrast to BERT-style models that can only output either a class label or a span of the input. Our text-to-text framework allows us to use the same model, loss function, and hyperparameters on any NLP task, including machine translation, document summarization, question answering, and classification tasks (e.g., sentiment analysis). We can even apply T5 to regression tasks by training it to predict the string representation of a number instead of the number itself.

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 Not Supported
Mac Not Supported
Linux Not 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

AI developers interested in a powerful large language model

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 Not Supported

Screenshots and Videos

Screenshots and Videos

No images available

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

No information available.
Free Version Not 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:

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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

Google
Founded: 1998
United States
ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html

Alternatives

Alternatives

BERT

BERT

Google
RoBERTa

RoBERTa

Meta
GPT-5 nano

GPT-5 nano

OpenAI
MiniMax

MiniMax

MiniMax AI
GPT-4

GPT-4

OpenAI
MiniMax M1

MiniMax M1

MiniMax
Amazon Nova

Amazon Nova

Amazon

Categories

AI Coding Models Supported
AI Models Supported
Foundation Models Supported
Multimodal Models Supported

Categories

AI Models Supported

Integrations

APIFree Supported
Alibaba AI Coding Plan Supported
BLACKBOX AI Supported
Claude Code Supported
Clawd.run Supported
ClinePass Supported
Factory Droid Supported
Hermes Agent Supported
Kilo Code Supported
Medical LLM Not Supported
MiniMax Code Supported
MiniMax Mavis Supported
Ollama Supported
OpenClaw Supported
OpenCode Zen Supported
OpenTag Supported
Pi Agent Supported
Roo Code Supported
Tabbit Browser Supported
Vision Agents Supported

Integrations

APIFree Not Supported
Alibaba AI Coding Plan Not Supported
BLACKBOX AI Not Supported
Claude Code Not Supported
Clawd.run Not Supported
ClinePass Not Supported
Factory Droid Not Supported
Hermes Agent Not Supported
Kilo Code Not Supported
Medical LLM Supported
MiniMax Code Not Supported
MiniMax Mavis Not Supported
Ollama Not Supported
OpenClaw Not Supported
OpenCode Zen Not Supported
OpenTag Not Supported
Pi Agent Not Supported
Roo Code Not Supported
Tabbit Browser Not Supported
Vision Agents Not Supported
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