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Available now on ModelsLab · Language Model

Z.ai: GLM 4.7 FlashFast multilingual reasoning engine

Try Z.ai: GLM 4.7 FlashAPI Documentation

Efficient performance meets complex reasoning

Lightning-fast inference

30B parameters, 3B active

Runs efficiently with only 3 billion active parameters while maintaining SOTA performance.

Extended context window

131K token context length

Process long documents, multi-turn conversations, and complex workflows without truncation.

Reasoning built-in

Interleaved thinking modes

Preserved and turn-level thinking for stable, controllable complex task execution.

Examples

See what Z.ai: GLM 4.7 Flash can create

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

Python REST API

“Create a Python FastAPI application with endpoints for user authentication, product listing, and order management. Include request validation, error handling, and SQLAlchemy ORM integration.”

Mathematical reasoning

“Solve this step-by-step: A rectangular garden has a perimeter of 56 meters. If the length is 4 meters more than twice the width, find the dimensions and total area.”

Multilingual chatbot

“Build a customer support chatbot that responds in Spanish, French, and German. Include context awareness for previous messages and product recommendation logic.”

Terminal automation

“Write a bash script that monitors system logs, identifies error patterns, sends alerts to Slack, and generates daily performance reports.”

For Developers

A few lines of code.
Reasoning. Code. Three lines.

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 4.7 Flash

Read the docs

GLM 4.7 Flash is a 30-billion parameter optimized variant with only 3 billion active parameters, delivering faster inference while maintaining strong performance. The full GLM 4.7 offers higher capability but requires more compute resources.

GLM 4.7 Flash is optimized for dialogue and instruction-following across 100+ languages, making it ideal for multilingual applications and global deployments.

Yes, it supports multi-turn tool calling and agentic workflows with preserved thinking across turns, enabling stable automation and complex task execution.

GLM 4.7 Flash features a 131,072 token context window, allowing processing of long documents and extended multi-turn conversations without truncation.

The model includes Interleaved Thinking (reasoning before responses), Preserved Thinking (retained across multi-turn conversations), and Turn-level Thinking (per-turn control). You can enable reasoning via API parameters to see step-by-step thinking.

Ideal for coding assistance, terminal automation, UI generation, mathematical reasoning, multilingual chatbots, and agentic workflows. Balances performance and efficiency for production deployments.

Ready to create?

Start generating with Z.ai: GLM 4.7 Flash on ModelsLab.

Try Z.ai: GLM 4.7 FlashAPI Documentation