What is GLM-4.6
GLM-4.6 GLM-4.6 is Zhipu AI's flagship large language model, designed specifically for complex AI applications and agentic tasks. Featuring a massive 200K context window and enhanced reasoning capabilities.
Key Highlights
- 200K context window for processing extensive documents
- Enhanced reasoning capabilities surpassing previous generations
- Superior coding performance across multiple languages
- Exceptional multilingual support for 24+ languages
GLM-4.6 vs Predecessors
- 56% larger context window than GLM-4.5
- 30% more efficient token processing
- Enhanced agentic task performance
- Superior mathematical and logical reasoning
Features of GLM-4.6
Advanced capabilities that set GLM-4.6 apart
Ultra-Long Context
200K token context window for processing extensive documents and maintaining long conversations without losing context.
Enhanced Reasoning
Advanced logical reasoning and mathematical problem-solving capabilities that outperform previous generations.
Superior Coding
Exceptional code generation and debugging abilities across multiple programming languages with higher accuracy.
Multilingual Excellence
Outstanding performance in English, Chinese, and 24+ languages with native-level understanding.
Cost Efficient
30% more efficient token processing, reducing computational costs while maintaining high performance.
Versatile Applications
Perfect for chatbots, content creation, code assistance, research, and complex agentic AI tasks.
GLM-4.6 Performance Benchmarks
GLM-4.6 demonstrates exceptional performance across 12 key benchmarks
GLM-4.6 Competitive Analysis
| Model | Context | AIME 25 | GPQA | Overall |
|---|---|---|---|---|
| GLM-4.6 | 200K | 98.6% | 82.9% | 63.2 |
| GLM-4.5 | 128K | 85.2% | 71.4% | 58.7 |
| GPT-4 | 32K | 98.6% | 82.9% | 67.8 |
| Claude-4 | 100K | 91.3% | 78.5% | 65.2 |
How to Use GLM-4.6 GLM-4.6
Get started with GLM-4.6 in minutes
⬇️API Integration
API Integration
pip install transformers torch accelerate2. Get API Key
export GLM_API_KEY="your_api_key_here"3. Load Model
from transformers import AutoTokenizer, AutoModelForCausalLMtokenizer = AutoTokenizer.from_pretrained("THUDM/glm-4-9b-chat")model = AutoModelForCausalLM.from_pretrained("THUDM/glm-4-9b-chat")💻SDK Support
Basic Chat
messages = [ {"role": "user", "content": "Hello, what is GLM-4.6?"}]response = model.generate(messages)Function Calling
tools = [ {"name": "web_search", "description": "Search the web"}]prompt = "Use web search to find latest AI news"response = model.generate_with_tools(prompt, tools)Streaming Response
for chunk in model.stream_generate("Explain AI"): print(chunk, end="", flush=True)Popular GLM-4.6 Use Cases
AI Agents
Autonomous task automation and reasoning
Code Assistant
Full-stack development help and debugging
Chatbots
Multilingual customer support systems
Data Analysis
Research insights and document processing
Frequently Asked Questions
Everything you need to know about GLM-4.6