MiniMax M3 Description

MiniMax M3 is a frontier open-weight AI model built for coding, agentic work, multimodal understanding, and ultra-long-context tasks. The model supports up to a 1 million token context window, allowing it to work across large codebases, long documents, logs, project histories, and complex task environments. MiniMax M3 introduces MiniMax Sparse Attention, a sparse attention architecture designed to make long-context processing more efficient. The model is natively multimodal, with training that supports deeper semantic fusion across text, image, and video inputs. It is designed to support software engineering tasks, repository analysis, terminal-style work, browser-style retrieval, tool use, and autonomous workflows. MiniMax M3 has a mixture-of-experts architecture with hundreds of billions of total parameters and a smaller activated parameter count for more efficient inference. Developers can use it for AI coding assistants, workflow automation, research agents, document analysis, visual reasoning, and enterprise AI systems. Its long-context capability makes it especially useful when tasks require many files, references, instructions, or interaction histories to stay available at once. MiniMax M3 helps teams build more capable AI agents that can understand larger problems, work across multiple modalities, and execute complex tasks with stronger context awareness.

Pricing

Pricing Starts At:
$0.30 per million input tokens
Pricing Information:
$0.30 per million input tokens and $1.20 per million output tokens
Free Version:
Yes

Integrations

API:
Yes, MiniMax M3 has an API

Reviews - 1 Verified Review

Total
ease
features

Company Details

Company:
MiniMax
Year Founded:
2021
Headquarters:
Singapore
Website:
www.minimax.io

Media

MiniMax M3 Screenshot 1
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Product Details

Platforms
Web-Based
Windows
Mac
Linux
On-Premises
Types of Training
Training Docs
Customer Support
Online Support

MiniMax M3 Features and Options

MiniMax M3 User Reviews

Write a Review
  • Name: Anonymous (Verified)
    Job Title: AI Developer
    Length of product use: Less than 6 months
    Used How Often?: Weekly
    Role: User
    Organization Size: 26 - 99
    Features
    Ease
    Pricing
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    MiniMax M3 review

    Date: Aug 12 2026

    Summary: M3 feels like a serious model for developers who care about long context, coding, multimodal inputs, and agentic workflows. It is not just another chatbot model with coding pasted on top; it feels built for the kind of complex, context-heavy work modern AI agents actually need to do.

    Positive: 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.

    Negative: 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.

    Read More...
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