Compare GLM-4.5-Air vs. MiniMax M2.5

Z.ai serves as a versatile, complimentary AI assistant that integrates presentations, writing, and coding into a seamless conversational platform. By harnessing the power of advanced language models, it enables users to create sophisticated slide decks with AI-generated slides, produce high-quality text for various purposes such as emails, reports, and blogs, and even write or troubleshoot intricate code. In addition to content generation, Z.ai excels in conducting thorough research and information retrieval, allowing users to collect data, condense lengthy documents, and break through writer's block, while its coding assistant can clarify code snippets, optimize functions, or generate scripts from the ground up. The user-friendly chat interface eliminates the need for extensive training; you simply communicate your requirements—be it a strategic presentation, marketing content, or a script for data analysis—and receive immediate, contextually pertinent outcomes. With capabilities that extend to multiple languages, including Chinese, as well as native function invocation and support for an extensive 128K token context, Z.ai is equipped to facilitate everything from idea generation to the automation of tedious writing or coding tasks, making it an invaluable tool for professionals across various fields. Its comprehensive approach ensures that users can navigate complex projects with ease and efficiency.

MiniMax M2.5 is a next-generation foundation model built to power complex, economically valuable tasks with speed and cost efficiency. Trained using large-scale reinforcement learning across hundreds of thousands of real-world task environments, it excels in coding, tool use, search, and professional office workflows. In programming benchmarks such as SWE-Bench Verified and Multi-SWE-Bench, M2.5 reaches state-of-the-art levels while demonstrating improved multilingual coding performance. The model exhibits architect-level reasoning, planning system structure and feature decomposition before writing code. With throughput speeds of up to 100 tokens per second, it completes complex evaluations significantly faster than earlier versions. Reinforcement learning optimizations enable more precise search rounds and fewer reasoning steps, improving overall efficiency. M2.5 is available in two variants—standard and Lightning—offering identical capabilities with different speed configurations. Pricing is designed to be dramatically lower than competing frontier models, reducing cost barriers for large-scale agent deployment. Integrated into MiniMax Agent, the model supports advanced office skills including Word formatting, Excel financial modeling, and PowerPoint editing. By combining high performance, efficiency, and affordability, MiniMax M2.5 aims to make agent-powered productivity accessible at scale.