GLM 5 Turbo vs MiniMax M2.7

GLM-5 Turbo is a new model by Z.ai built for fast inference and strong performance in agent-based environments like OpenClaw scenarios. It is heavily optimized for real-world agent workflows with long execution chains, offering better decomposition of complex instructions, improved tool use, scheduled and persistent execution, and greater stability throughout extended tasks.

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.