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:
Free
Pricing Information:
Open source
Free Version:
Yes

Integrations

API:
Yes, MiniMax M3 has an API

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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

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