MiniMax M2 - MiniMax's Agent Programming and Optimization Model

What is MiniMax M2?

MiniMax M2 is a large language model from MiniMax, optimized for programming and agent workflows. The model boasts 10 billion activation parameters and 230 billion total parameters, supporting 204,800 context windows and a maximum output token count of 131,072. It demonstrates near-state-of-the-art intelligence in general reasoning, tool usage, and multi-step task execution, while maintaining low latency and deployment efficiency. According to Artificial Analysis benchmarks, M2 ranks among the top open-source models in comprehensive intelligence, including mathematical, scientific, and instruction-following capabilities. MiniMax M2 offers powerful programming assistance, helping developers quickly generate code, perform multi-file editing, compile-run-repair loops, and test and verify fixes.

Main functions of MiniMax M2

• Programming aidsIt can quickly generate code, supports multi-file editing, compilation-run-repair loop, and testing and verification repair functions, helping developers improve programming efficiency.
• Agent workflow optimizationDesigned specifically for agent applications, it can effectively handle complex commands and complete multi-step tasks, making it suitable for building intelligent assistants and automation tools.
• Integrated IntelligenceIt excels in comprehensive intelligence, including mathematical, scientific, and instruction-following abilities, reaching the level of top-tier open-source models and capable of handling a variety of complex tasks.
• Low latency and high deployment efficiencyIt maintains low latency and high concurrency, making it suitable for scenarios requiring fast inference and stable function calls, and offers good unit economic benefits.
• Platform experience and API accessUsers can try the MiniMax Agent platform for free or access it via API, making it convenient for developers to quickly deploy and apply it.

MiniMax M2 Technical Principles

• Large-scale parameter trainingMiniMax M2 has 10 billion activation parameters and 230 billion total parameters. It learns language patterns and knowledge through large-scale data training, thus possessing powerful language understanding and generation capabilities.
• High-efficiency architecture designIt employs a compact and efficient model architecture to achieve low latency and high deployment efficiency. This design enables the model to perform exceptionally well in inference speed and concurrent processing capabilities while maintaining high performance.
• Optimized context windowIt supports 204,800 context windows and a maximum output token count of 131,072, enabling it to handle longer text input and output, making it suitable for complex multi-step tasks and long text generation.
• Deeply optimized programming capabilitiesFrom the initial design stage, the model has been deeply optimized for programming tasks, including code understanding, generation, and debugging, making it outstanding in programming assistance.
• Agent workflow optimizationOptimized for Agent applications, it can better understand and execute complex instructions and complete multi-step tasks, making it suitable for building intelligent assistants and automation tools.
• Comprehensive intelligence capabilitiesIt demonstrates outstanding performance in comprehensive intelligence, including mathematical, scientific, and instruction-following abilities, and its near-cutting-edge intelligence level has been validated through multiple benchmark tests.
• Flexible API accessIt provides API interfaces to facilitate developers to quickly access and use the model, supports multiple programming languages and development environments, and is easy to integrate into different applications.

How to use MiniMax M2

• Experience through the MiniMax Agent platformUsers can log in to the MiniMax Agent platform to try out the MiniMax M2 for free and use it directly on the platform.
• API AccessLog in to the MiniMax Open Platform and obtain your account's GroupID and API Key. Refer to the text composition documentation and input parameters such as message, temperature, and top_p according to your actual needs. Set the value of the model parameter to "MiniMax-M2-Preview".

Application scenarios of MiniMax M2

• Programming aidsMiniMax M2 excels at handling complex programming tasks, including code generation, multi-file editing, compile-run-repair loop, and testing, verification, and repair functions.
• Agent workflow optimizationIt can effectively handle complex instructions and complete multi-step tasks, making it suitable for building intelligent assistants and automation tools.
• Full-stack application developmentIt supports complete application development from front-end to back-end, including back-end logic and data management, and has powerful self-testing capabilities to ensure application quality.
• Multimodal content generationIt supports input and output of multiple modalities such as text and images, adapting to diverse scenario needs.
• Task Management and CollaborationBy deeply integrating with mainstream collaboration platforms, it achieves seamless task management and improves team collaboration efficiency.
• Intelligent content creationIt can be used to generate podcast content, translate and rewrite text to fit a specific format or style.