GLM-5 vs. MiniMax M2.5 vs. Gemini 3 Deep Think: Which Model Fits Your AI Agent Stack?

This post provides a comparative analysis of three new large language models (GLM-5, MiniMax M2.5, and Gemini 3 Deep Think) focusing on their capabilities in coding, deep reasoning, and agentic workflows. It details their performance on specific benchmarks and hands-on tests (3D scene rendering, SVG generation), offering guidance on choosing the right model for different use cases. Crucially, it includes a practical tutorial demonstrating how to integrate GLM-5 (or MiniMax M2.5) with Milvus for building a Retrieval-Augmented Generation (RAG) knowledge base, covering dependency setup, data preparation, and LLM/embedding model configuration.