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Description
The MiniMax‑M1 model, introduced by MiniMax AI and licensed under Apache 2.0, represents a significant advancement in hybrid-attention reasoning architecture. With an extraordinary capacity for handling a 1 million-token context window and generating outputs of up to 80,000 tokens, it facilitates in-depth analysis of lengthy texts. Utilizing a cutting-edge CISPO algorithm, MiniMax‑M1 was trained through extensive reinforcement learning, achieving completion on 512 H800 GPUs in approximately three weeks. This model sets a new benchmark in performance across various domains, including mathematics, programming, software development, tool utilization, and understanding of long contexts, either matching or surpassing the capabilities of leading models in the field. Additionally, users can choose between two distinct variants of the model, each with a thinking budget of either 40K or 80K, and access the model's weights and deployment instructions on platforms like GitHub and Hugging Face. Such features make MiniMax‑M1 a versatile tool for developers and researchers alike.
Description
MiniMax Mavis is an advanced AI agent system developed to automate complex workflows through coordinated collaboration between multiple intelligent agents. The platform represents a major evolution of the original MiniMax Agent product and introduces a new multi-agent architecture called Agent Teams. Instead of relying on a single AI assistant, Mavis enables teams of specialized agents to divide responsibilities, execute tasks simultaneously, and collaborate on long-duration projects. The system is designed to support research, software development, knowledge work, planning, content creation, and other business-critical processes. Mavis can maintain progress across extended workflows while reducing the interruptions and context limitations often associated with traditional AI assistants. The platform also integrates with MiniMax’s broader ecosystem of models and services, allowing users to leverage coding, multimodal, and automation capabilities from a single environment. Agent Teams can assign different roles and responsibilities to individual agents, improving efficiency and task specialization. The platform is intended to function as a digital AI assistant capable of handling increasingly sophisticated workflows with minimal supervision. By combining collaborative AI execution with long-context reasoning and automation, MiniMax Mavis helps users complete complex projects faster and more effectively.
API Access
Has API
API Access
Has API
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Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
MiniMax
Founded
2021
Country
Singapore
Website
www.minimax.io/news/minimaxm1
Vendor Details
Company Name
MiniMax
Founded
2023
Country
China
Website
minimax.io