Z.ai: GLM 4.5 Air (free)
Agentic Power, Free Access
Run Efficient Agentic Workflows
MoE Efficiency
106B Params, 12B Active
Activates 12B of 106B parameters for high performance at low compute.
Hybrid Reasoning
Thinking and Non-Thinking Modes
Switch between complex reasoning with tools and instant responses.
Agentic Native
128K Context Window
Handles multi-step planning, tool calls, and long-context tasks seamlessly.
Examples
See what Z.ai: GLM 4.5 Air (free) can create
Copy any prompt below and try it yourself in the playground.
Code Refactor
“Analyze this Python function for efficiency issues, then rewrite it using async patterns and add unit tests. Code: def fetch_data(url): response = requests.get(url) return response.json()”
Data Pipeline
“Design a workflow to process CSV sales data: clean outliers, compute monthly trends, generate SQL insert statements, and suggest visualization code in Matplotlib.”
Logic Puzzle
“Solve this riddle step-by-step: Three houses in a row, owners A B C drink water milk tea, own cat dog bird, smoke none dunhill blends. Who owns the cat? Use thinking mode.”
API Agent
“Plan and execute: Fetch weather API for Tokyo, analyze temperature trends over 7 days, output JSON summary with forecast recommendations.”
For Developers
A few lines of code.
Agents live. Zero cost.
ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.
- Serverless: scales to zero, scales to millions
- Pay per token, no minimums
- Python and JavaScript SDKs, plus REST API
import requestsresponse = requests.post("https://modelslab.com/api/v7/llm/chat/completions",json={"key": "YOUR_API_KEY","prompt": "","model_id": ""})print(response.json())
Ready to create?
Start generating with Z.ai: GLM 4.5 Air (free) on ModelsLab.