MiniMax M2.1: Built for Real-World Complex Tasks, Multi-Language Programming (www.minimaxi.com)

MiniMax has announced the release of MiniMax M2.1, a significant upgrade in its AI-native model that enhances multi-language programming capabilities for real-world complex tasks. This update builds on the previous MiniMax M2 version by not only improving performance and usability across popular programming languages—such as Rust, Java, Golang, and C++—but also addressing areas like mobile development for native Android and iOS applications. The model is designed to excel in diverse programming environments and includes improved design comprehension for web and app development, enabling the creation of intricate interactions and high-quality visualizations. The significance of M2.1 for the AI/ML community lies in its enhanced features, including better composite instruction handling and more concise, efficient responses that reduce token consumption. This model also demonstrates strong generalization capabilities across various programming tools and agent frameworks, making it suitable for a wide array of software development tasks. Benchmarks indicate that MiniMax M2.1 outperforms its predecessor and rivals like Claude Sonnet 4.5 in specialized domains, achieving a high score on the VIBE aggregate benchmark. With the release of open-source model weights, developers are equipped to deploy and integrate MiniMax M2.1 into their workflows, fostering innovation in coding practices and AI-assisted development.