Feature	Description
Name	GLM-4.5 AI
Overview	GLM-4.5 is a state-of-the-art, open-source Large Language Model (LLM) from the Chinese AI company Z.ai (formerly Zhipu AI). It is engineered to deliver exceptional performance in complex reasoning, coding, and agentic tasks, positioning itself as a powerful and highly cost-effective alternative to leading proprietary models. Built on an efficient Mixture-of-Experts (MoE) architecture, GLM-4.5 is designed for a new generation of AI applications that require models to act as autonomous agents, capable of breaking down and executing multi-step instructions. It features a unique “hybrid reasoning” system with a “thinking” mode for deep analysis and a “non-thinking” mode for instant responses, offering unparalleled flexibility for developers. Released under the permissive MIT license, GLM-4.5 democratizes access to top-tier AI, enabling anyone from individual developers to large enterprises to build, customize, and deploy advanced AI solutions without prohibitive costs or vendor lock-in.
Key features & benefits	Completely Open-Source (MIT License): Freely available for commercial use, modification, and distribution. This gives developers full control and ownership over their AI stack. Mixture-of-Experts (MoE) Architecture: Combines the power of a massive model (355 billion total parameters) with the speed and efficiency of a much smaller one (32 billion active parameters), drastically reducing computational costs. Advanced Agentic Capabilities: Natively designed for agentic workflows, including multi-step task planning, function calling, web browsing, and integration with external tools. Superior Coding Performance: Excels at full-stack development, from frontend UI to backend logic and databases. It consistently outperforms other leading models in coding benchmarks and can generate entire applications from a single prompt. Hybrid Reasoning System: Users can switch between a “thinking” mode for complex, analytical tasks and a “non-thinking” mode for fast, conversational replies, optimizing for either depth or speed. Extreme Cost-Effectiveness: Offers token pricing that is an order of magnitude cheaper than competitors like GPT-4, making advanced AI accessible for startups and budget-conscious teams. Long Context Window: Supports up to a 128K context window, allowing it to process and analyze large documents, codebases, and lengthy conversations in a single pass. Lightweight Variant (GLM-4.5-Air): A smaller, 106-billion-parameter version is available for applications with stricter hardware or latency constraints, including on-device deployment.
Use cases and applications	Automated Software Development: Creating full-stack web applications, interactive games, physics simulations, and standalone software artifacts (HTML, SVG, Python). Autonomous AI Agents: Building intelligent agents that can perform research, analyze data, manage workflows, and automate business processes. Advanced Content Creation: Generating high-quality, long-form articles, technical documentation, marketing copy, and presentation slides. Sophisticated Chatbots: Powering next-generation multilingual customer support bots and personal AI assistants that can handle complex queries. Complex Data Analysis: Analyzing large datasets, identifying trends, and generating insightful reports from unstructured text.
Who uses?	Software Developers & AI Engineers: Who need a powerful, flexible, and affordable model to build AI-powered applications. Startups and Small Businesses: Who want to leverage cutting-edge AI without the high costs associated with proprietary models. Enterprises: For creating custom, in-house AI solutions and automating complex internal workflows with full data privacy and control. Researchers and Academics: For exploring the frontiers of AI and pushing the boundaries of what LLMs can do. Hobbyists and Creators: Who are experimenting with AI for personal projects, from creating games to building creative tools.
Pricing	GLM-4.5’s pricing model is one of its most disruptive features. While specific costs vary by provider, Z.ai’s API pricing is exceptionally low, starting at approximately $0.11 per million input tokens and $0.28 per million output tokens. This is significantly cheaper than most Western counterparts. Furthermore, the model is available for free for local deployment via its open-source license on platforms like Hugging Face. There are also free-to-use versions like GLM-4.5-Flash available through Z.ai’s web platform.
Tags	LLM, AI, Open-Source, Mixture-of-Experts, Agentic AI, Code Generation, Natural Language Processing, Zhipu AI, Z.ai
App available?	Access is available through web-based interfaces (like chat.z.ai), APIs (from Z.ai, OpenRouter, etc.), and as downloadable open-source models from repositories like Hugging Face for local deployment. There is no standalone mobile or desktop application.

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