GLM : China's Most Advanced AI Coding Model (GLM 4.6)
GLM-4.6 is Zhipu AI's flagship model with 355B total parameters and 32B activated parameters. It delivers exceptional coding capabilities rivaling Claude Sonnet 4, features a 200K context window for handling complex tasks, enhanced intelligent search, and superior multilingual translation. Designed for developers, enterprises, and creators seeking cutting-edge AI performance.
Key Features of GLM-4.6
GLM-4.6 combines cutting-edge AI technology with practical features for developers and enterprises.
Advanced Coding
Industry-leading code generation aligned with Claude Sonnet 4. Supports Python, JavaScript, Java, and more with beautiful frontend layouts and logical structure.
Deep Reasoning
Enhanced reasoning capabilities with deep thinking mode. Provides comprehensive analysis and supports tool calling during reasoning processes.
Intelligent Search
Strengthened tool calling and search agent performance. Better intent understanding, tool retrieval, and result integration for deep research scenarios.
Multilingual Translation
Optimized translation for small languages (French, Russian, Japanese, Korean). Perfect for social media, e-commerce content, and cross-border applications.
Long Context Window
200K token context window expanded from 128K. Handles longer code files, documents, and complex multi-step agent tasks with ease.
Creative Writing
Enhanced writing quality in style, readability, and role-playing. Supports novels, scripts, copywriting with natural expression and emotional control.
Function Calling
Powerful tool calling capabilities with MCP support. Flexibly invoke external tools and data sources to extend application scenarios.
Structured Output
Native JSON formatting support for structured data output. Seamlessly integrate with systems and APIs for automated workflows.
GLM-4.6 Use Cases
Discover how professionals leverage GLM-4.6 for innovative AI applications across industries.
AI Coding & Development
Cover Python, JavaScript, Java, and mainstream languages. Beautiful frontend code, reasonable layouts, and logical structure. Native support for agent tasks with strong autonomous planning.
Smart Office Automation
Significantly enhanced PPT creation and office automation. Generate advanced, beautiful layouts while maintaining content integrity and expression accuracy.
Multilingual Translation
Optimized for small languages and informal contexts. Perfect for social media, e-commerce, and short drama translation with style transfer and localization.
Content Creation
Support diverse content production including novels, scripts, and copywriting. Natural expression through context expansion and emotion control.
Virtual Characters & Chatbots
Maintain consistent tone and behavior across multi-turn dialogues. Ideal for virtual assistants, social AI, and brand personification with authentic interaction.
Intelligent Search & Research
Enhanced user intent understanding, tool retrieval, and result fusion. Support deep research scenarios with insightful answers and comprehensive analysis.
Enterprise Solutions
Build intelligent customer service, knowledge bases, and business automation systems. Reliable performance with data security and compliance support.
Education & Training
Create personalized learning content, answer student questions, and generate educational materials. Adapt to different learning styles and levels.
How to Write Effective GLM-4.6 Prompts
Master prompt engineering to unlock GLM-4.6's full potential. Learn techniques for coding, translation, and intelligent agent tasks.
Essential Prompt Elements
Task Description
Clearly state what you want to achieve. Be specific about the goal, context, and expected outcome.
Technical Context
Specify programming language, framework, libraries, and technical stack for coding tasks.
Code Style & Conventions
Define coding standards, naming conventions, and architectural patterns you prefer.
Translation Requirements
For translation tasks, specify source/target languages, tone, formality, and cultural context.
Output Format
Specify the desired output structure, whether code, JSON, markdown, or formatted text.
Constraints & Requirements
Define limitations, dependencies, performance needs, or specific requirements to consider.
Pro Tips for Better Results
Be Specific for Coding
Instead of 'create a form,' try 'create a multi-step registration form with email validation, password strength meter, and smooth transitions between steps using React Hook Form'
Provide Context for Translation
Include target audience, platform, and cultural context. For example, 'Translate for Japanese Gen-Z users on Instagram, use casual language with trending expressions'
Break Down Complex Tasks
For agent tasks, outline the workflow step by step. Enable deep thinking mode for complex problems requiring comprehensive reasoning and analysis
Leverage Function Calling
Describe available tools and when to use them. For search tasks, specify which APIs to call and how to integrate results for coherent answers
Good vs. Better Prompts
"Write a login function"
"Create a secure login function in TypeScript using JWT authentication, bcrypt password hashing, rate limiting (5 attempts per 15 minutes), and return proper error messages for invalid credentials, expired tokens, or locked accounts. Include TypeScript types and JSDoc comments."
"Translate this to Japanese"
"Translate the following marketing copy to Japanese for a tech-savvy audience aged 25-35. Maintain a professional yet approachable tone, use modern business Japanese (avoiding overly formal keigo), and adapt any cultural references to resonate with Japanese consumers."
"Build a dashboard"
"Build a responsive admin dashboard using React 18, TypeScript, and Tailwind CSS. Include, (1) Sidebar navigation with collapsible menu, (2) Top bar with user profile and notifications, (3) Main content area with grid layout for cards showing KPIs, (4) Charts using Recharts for data visualization, (5) Dark mode support, (6) Mobile-responsive with hamburger menu. Follow modern component patterns with proper TypeScript types."
How to Use GLM-4.6
Start leveraging GLM-4.6's powerful capabilities for your coding, translation, and intelligent agent tasks.
Define Your Task
Clearly describe what you want to achieve with context
Craft Your Prompt
Use detailed prompts with technical specs and requirements
Enable Features
Activate deep thinking, function calling, or structured output as needed
Review & Iterate
Refine results and iterate based on output quality
Tips for Best Results
- •For coding tasks, specify the exact tech stack, libraries, and coding standards you want to follow
- •Use deep thinking mode for complex problems requiring comprehensive reasoning and analysis
- •Leverage the 200K context window for long code reviews, document analysis, or multi-step agent workflows
- •For translation, provide cultural context and target audience to get natural, localized results
- •Enable function calling when you need to integrate external tools, APIs, or data sources
- •Request structured JSON output for seamless system integration and automated processing
GLM-4.6 is designed for professional applications with enterprise-grade reliability and performance. Available through Zhipu AI's API platform.