SOTA AI for real-world productivity: Faster, stronger, smarter.
MiniMax M2.5 is a state-of-the-art AI model designed for maximum real-world productivity. It excels in coding, agentic tool use, and complex office tasks, offering unprecedented speed and cost-effectiveness.
Introducing MiniMax M2.5, the latest frontier model from MiniMax, engineered to be Faster, Stronger, and Smarter. Built from the ground up for real-world productivity, M2.5 leverages extensive reinforcement learning across hundreds of thousands of complex environments to deliver state-of-the-art performance in critical areas like coding, agentic tool use, search, and office work. This model is set to revolutionize how we approach complex tasks, making advanced AI capabilities accessible and affordable.
MiniMax M2.5 is ideal for developers, researchers, businesses, and anyone looking to leverage cutting-edge AI for complex tasks without prohibitive costs. It's particularly suited for teams building sophisticated agentic applications, seeking to enhance coding productivity, or aiming to automate professional workflows in fields like finance, law, and software engineering.
MiniMax M2.5 sets a new standard for AI model performance, speed, and affordability. Its ability to tackle complex coding challenges, perform intricate agentic tasks, and integrate seamlessly into professional office environments makes it an indispensable tool for driving innovation and productivity. The commitment to making advanced AI cost-effective unlocks immense potential for new applications and wider adoption.
Software development and system design
Complex information retrieval and research
Financial modeling and analysis
Automated office task completion (Word, Excel, PowerPoint)
Building advanced autonomous AI agents
MiniMax M2.5 is a state-of-the-art large language model developed by MiniMax. It is designed for high performance in real-world productivity tasks, including coding, agentic tool use, search, and office applications, offering significant speed and cost advantages over previous models and competitors.
MiniMax M2.5 is a paid model. While it offers exceptional cost-effectiveness, with prices significantly lower than other frontier models, it is not free. Pricing varies based on usage and throughput, with options like $1 per hour for continuous use at 100 tokens per second.
MiniMax M2.5 is trained using extensive reinforcement learning in diverse, complex real-world environments. It utilizes advanced algorithms and an agent-native RL framework called Forge to optimize task decomposition, reasoning, and tool integration. This allows it to understand complex instructions, plan optimal strategies, and execute tasks efficiently across various domains like coding, search, and office productivity.