MiniMax M2.7 vs GLM 4.5 Air (free)

MiniMax-M2.7 is a next-generation large language model built for autonomous, real-world productivity and continuous improvement. Designed to take an active role in its own development, M2.7 incorporates advanced agent capabilities through multi-agent collaboration, allowing it to plan, execute, and improve complex tasks across dynamic environments. Trained for production-level performance, M2.7 supports workflows such as live debugging, root cause analysis, financial modeling, and full document creation across Word, Excel, and PowerPoint. It delivers strong benchmark results, including 56.2% on SWE-Pro and 57.0% on Terminal Bench 2, while reaching 1495 ELO on GDPval-AA, setting a new benchmark for multi-agent systems in real-world digital workflows.

GLM-4.5-Air is the lightweight version of our newest flagship model family, designed specifically for agent-focused applications. Like GLM-4.5, it uses a Mixture-of-Experts (MoE) architecture, but with a smaller parameter footprint. GLM-4.5-Air also supports hybrid inference modes, including a "thinking mode" for deeper reasoning and tool usage, and a "non-thinking mode" for real-time interactions.