> For the complete documentation index, see [llms.txt](https://docs.cherryai.com.cn/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.cherryai.com.cn/docs/en-us/pre-basic/providers/cherryai/free-glm45air.md).
# Zhipu GLM-4.5-Air
In order to enable every developer and user to easily experience the capabilities of cutting-edge large models,**Zhipu has made the GLM-4.5-Air model available for free to Cherry Studio users**As an efficient foundation model built specifically for agent applications, GLM-4.5-Air strikes an excellent balance between performance and cost, making it the ideal choice for building intelligent applications.
***
**🚀 What is GLM-4.5-Air?**
GLM-4.5-Air is Zhipu's latest high-performance language model, adopting an advanced **Mixture-of-Experts (MoE) architecture**, while maintaining outstanding reasoning capabilities, it significantly reduces compute resource consumption.
* **Total parameters: 106 billion**
* **Active parameters: 12 billion**
Through a streamlined design, GLM-4.5-Air achieves higher inference efficiency, making it suitable for deployment in resource-constrained environments while still being capable of handling complex tasks.
***
**📚 Unified training pipeline, laying a solid intelligent foundation**
GLM-4.5-Air shares the same training pipeline as the flagship series, ensuring a solid foundation of general capabilities:
1. **Large-scale pretraining**：up to **150 trillion tokens of general corpus** it completed training on, building broad knowledge understanding capabilities;
2. **Domain-specific optimization**：strengthened training on key tasks such as code generation, logical reasoning, and agent interaction;
3. **Long-context support**：context length extended to **128K tokens**, capable of handling long documents, complex conversations, or large code projects;
4. **Reinforcement learning enhancement**：through RL, the model's decision-making abilities in reasoning, planning, tool use, etc. are optimized.
This training system gives GLM-4.5-Air excellent generalization and task adaptability.
***
**⚙️ Core capabilities optimized for agents**
GLM-4.5-Air has been deeply adapted for agent application scenarios and has the following practical capabilities:
✅ **Tool calling support**：can call external tools through standardized interfaces to automate tasks\
✅ **Web browsing and information extraction**：can work with browser plugins to understand and interact with dynamic content\
✅ **Software engineering assistance**：supports requirement analysis, code generation, bug identification and fixing\
✅ **Front-end development support**：has a good understanding of and generation capability for front-end technologies such as HTML, CSS, and JavaScript
The model can be flexibly integrated into **Claude Code, Roo Code** and other code-agent frameworks, and can also be used as the core engine of any custom Agent.
***
**💡 Intelligent "thinking mode", flexibly responds to various requests**
GLM-4.5-Air supports **hybrid reasoning mode**, users can use `thinking.type` parameter to control whether deep thinking is enabled:
* `enabled`: enable thinking, suitable for complex tasks requiring step-by-step reasoning or planning
* `disabled`: disable thinking, used for simple queries or instant responses
* default is set to **dynamic thinking mode**, the model automatically decides whether in-depth analysis is needed
| Task type | Example |
| ---------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------- |
| **Simple tasks**(recommended to turn off thinking) |
- Query the founding time of "Zhipu AI" - Translate "I love you" into Chinese
|
| **Medium tasks**(recommended to enable thinking) |
- Compare the pros and cons of taking a plane vs. high-speed rail from Beijing to Shanghai - Explain why Jupiter has so many moons
|
| **Complex tasks**(strongly recommended to enable thinking) |
- Explain how experts collaborate in an MoE model - Analyze whether to buy an ETF based on market information
|
***
**🌟 Efficient and low-cost, easier to deploy**
GLM-4.5-Air strikes an excellent balance between performance and cost, especially suitable for real-world business deployment:
* ⚡ **Generation speed exceeds 100 tokens/second**, fast response, supports low-latency interaction
* 💰 **API cost is extremely low**: input only **0.8 yuan/million tokens**, output **2 yuan/million tokens**
* 🖥️ Few active parameters, low compute requirements, easy to run locally or in the cloud at high concurrency
Truly delivers an AI service experience of "high performance, low barrier to entry".
***
**🧠 Focus on practical capability: intelligent code generation**
GLM-4.5-Air performs stably in code generation and supports:
* covering **Python, JavaScript, Java** and other mainstream languages
* Generating according to natural language instructions **code that is clearly structured and highly maintainable** code
* reduces templated output, closer to the needs of real development scenarios
Suitable for high-frequency development tasks such as rapid prototyping, autocomplete, and bug fixing.
***
Try it for free now **GLM-4.5-Air**, and start your agent development journey!\
Whether you want to build an automated assistant, a coding companion, or explore next-generation AI applications, GLM-4.5-Air will be your efficient and reliable AI engine.
📘 Connect now and unleash creativity!
***
### Get help and submit feedback
If you encounter any questions, bugs, or have suggestions for feature improvements during configuration or use, please refer to [Feedback and Suggestions](/docs/en-us/question-contact/suggestions.md) for the official channels provided.
---
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