MiniMax M3 (Batch) is a next-generation flagship AI model developed by MiniMax, designed for developers and enterprises that require high-performance AI capabilities. The model focuses on coding performance, AI Agent workflows, long-context understanding, and native multimodal capabilities, providing a powerful foundation for complex task execution and automation applications.
MiniMax M3 is built on MiniMax’s proprietary MiniMax Sparse Attention (MSA) architecture and supports up to a 1 million-token context window, enabling the model to process large code repositories, long documents, enterprise knowledge bases, and long-term Agent tasks.
Compared with traditional large language models, MiniMax M3 places greater emphasis on practical AI application capabilities, including autonomous task planning, tool calling, multi-step reasoning, and long-running task execution. The model supports multimodal inputs such as text, images, and videos, making it suitable for software development, intelligent office applications, data analysis, content understanding, and AI Agent system development.
The Batch version is optimized for large-scale AI request processing through asynchronous inference, helping enterprises reduce computing costs while improving AI service efficiency.
MiniMax M3 is positioned as a high-performance, long-context, multimodal open-weight AI model designed for the Agent era, making it suitable for building intelligent assistants, automation workflows, and enterprise-grade AI applications.
MiniMax M3
58 Native multimodal, 1M context, MSA cuts cost 20x, built for multi-step complex tasks.
Minimax
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