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Z.ai: GLM 4.5 AirReason. Code. Act.

Try Z.ai: GLM 4.5 AirAPI Documentation

Build Agents Fast.

Hybrid Reasoning

Thinking Mode On

Toggle reasoning for math, science, logic via enabled boolean in Z.ai: GLM 4.5 Air API.

MoE Efficiency

106B Compact Power

12B active parameters deliver agentic tasks in z ai glm 4.5 air model with low latency.

Long Context

131K Token Window

Handle complex chains in Z.ai: GLM 4.5 Air alternative to heavy frontier LLMs.

Examples

See what Z.ai: GLM 4.5 Air can create

Copy any prompt below and try it yourself in the playground.

Math Proof

“Prove Fermat's Last Theorem step-by-step using thinking mode. Explain each algebraic manipulation and reference key historical context.”

Code Debugger

“Analyze this Python function for bugs: def factorial(n): if n == 0: return 1 else: return n * factorial(n-1). Fix recursion error and optimize for large n.”

Logic Puzzle

“Solve: Three houses in a row, owners A B C drink water milk tea, own cat dog bird. Clues: Brit in red house, etc. Output grid solution.”

Agent Plan

“Plan multi-step task: Research API endpoints, write integration code, test with sample data. Use tools if needed in thinking mode.”

For Developers

A few lines of code.
Agents. One Call.

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
API Documentation 
import requests


response = requests.post(
    "https://modelslab.com/api/v7/llm/chat/completions",
    json={
  "key": "YOUR_API_KEY",
  "prompt": "",
  "model_id": ""
}
)
print(response.json())

FAQ

Common questions about Z.ai: GLM 4.5 Air

Read the docs

Z.ai: GLM 4.5 Air is a 106B MoE LLM with 12B active parameters for reasoning and agents. It ranks 6th on 12 benchmarks. Supports 131K context.

Call via OpenAI-compatible endpoint with reasoning: enabled boolean. Use thinking mode for complex tasks. Available on Z.ai, OpenRouter.

Excels in coding, agentic tasks, math reasoning. Hybrid modes balance speed and depth. Competitive at lower cost than flagships.

Yes, z.ai: glm 4.5 air offers similar agentic performance with efficiency. Open-weights on HuggingFace. Ranks near top models.

131,072 tokens input, up to 98K output. Handles long agent chains. Matches larger GLM-4.5 capabilities.

Around $0.13/M input, $0.85/M output tokens via providers. Low latency at 357ms TTFT, 48 tok/s throughput.

Ready to create?

Start generating with Z.ai: GLM 4.5 Air on ModelsLab.

Try Z.ai: GLM 4.5 AirAPI Documentation