GLM-4.5 by Zhipu AI

Description

GLM-4.5, developed by Zhipu AI, is a flagship open-source large language model featuring 355 billion parameters. Released in July 2025, it is designed for agentic AI applications, providing a breakthrough in combining massive scale with practical usability. The model employs a Mixture-of-Experts (MoE) architecture, allowing it to activate only 32 billion parameters per inference, thus delivering efficient computation at a large scale.

GLM-4.5 ranks #3 globally among large language models and is available for free under the MIT license, making it accessible for unlimited commercial use. It supports dual reasoning modes, enabling complex analysis and instant responses, and includes native tool calling capabilities for function integration, web browsing, and code execution.

The model excels in multilingual support, trained on over 24 languages with strong English-Chinese bilingual capabilities. It offers enhanced coding capabilities, outperforming predecessors like GLM-130B and GLM-4, and provides full-stack development support with a high tool-use success rate.

GLM-4.5 is suitable for various applications, including AI agents, autonomous task automation, code assistance, chatbots, and data analysis. It supports multiple API interfaces, including REST API, Python SDK, and OpenAI-compatible endpoints, facilitating easy integration and migration.

The model requires significant GPU memory for full inference but offers optimization techniques such as quantization and model parallelism. It is backed by extensive community support through GitHub, Hugging Face Hub, and Discord, ensuring regular updates and contributions.

GLM-4.5 by Zhipu AI Highlights

• 355B parameters with 32B active per inference

• Mixture-of-Experts architecture

• Dual reasoning modes

• Native tool calling capabilities

• Enhanced coding capabilities

• Multilingual support

• Open-source under MIT license

• Competitive global ranking

Getting Started with GLM-4.5 by Zhipu AI

1. 1

   Install Dependencies: Prepare necessary software

2. 2

   Download GLM-4.5: Access the model files

3. 3

   Load Model: Initialize GLM-4.5 for use

4. 4

   Deploy: Use Docker or cloud services

5. 5

   Optimize: Implement performance enhancements

GLM-4.5 by Zhipu AI's Use Cases

• AI Agents
• Code Assistant
• Chatbots
• Data Analysis
• Function Integration

FAQ from GLM-4.5 by Zhipu AI

• What is GLM-4.5's parameter count?

  GLM-4.5 has 355 billion total parameters with 32 billion active per inference.

• Is GLM-4.5 open-source?

  Yes, GLM-4.5 is open-source under the MIT license, allowing unlimited commercial use.

• How does GLM-4.5 compare to GPT-4?

  GLM-4.5 ranks #3 globally and offers a longer context window, outperforming GPT-4 in certain coding benchmarks.

• What languages does GLM-4.5 support?

  GLM-4.5 supports over 24 languages with exceptional English-Chinese bilingual capabilities.

• What are GLM-4.5's deployment requirements?

  GLM-4.5 requires 80GB+ GPU memory for full inference, with optimization techniques available for smaller deployments.

• Can GLM-4.5 be customized?

  Yes, GLM-4.5 supports multiple fine-tuning approaches, including LoRA and RLHF.

• What API interfaces does GLM-4.5 offer?

  GLM-4.5 supports REST API, Python SDK, and OpenAI-compatible endpoints.

• What are the popular use cases for GLM-4.5?

  Popular use cases include AI agents, code assistants, chatbots, and data analysis.