GLM-4.6

智谱AI先进智能体模型

试试询问编程、推理或创意任务

200K
Context Window
Token Length
30%
More Efficient
Token Processing
24+
Languages
Supported
200K
上下文窗口
Token Length
30%
效率提升
Token Efficiency
24+
支持语言
Languages

什么是GLM-4.6

GLM-4.6 GLM-4.6是智谱AI的旗舰大语言模型,专为复杂AI应用和智能体任务设计。拥有200K超长上下文窗口和增强推理能力。

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

GLM-4.6的核心特性

让GLM-4.6脱颖而出的先进能力

超长上下文

200K token上下文窗口,可处理大量文档并保持长对话不丢失上下文信息。

Learn more

增强推理

先进的逻辑推理和数学问题解决能力,性能超越前代产品��

Learn more

卓越编程

在多种编程语言上具有出色的代码生成和调试能力,准确率更高。

Learn more

多语言优势

在英语、中文和24+种语言上表现优异,具备母语级理解能力。

Learn more

成本高效

token处理效率提升30%,在保持高性能的同时降低计算成本。

Learn more

应用广泛

完美适配聊天机器人、内容创作、代码助手、研究和复杂智能体AI任务。

Learn more

GLM-4.6性能基准测试

GLM-4.6在12个关键基准测试中展现卓越性能

63.2
Overall Score
12 Benchmark Average
84.6%
MMLU Score
Academic Knowledge
98.6%
AIME 25
Mathematical Reasoning
82.9%
GPQA
Graduate-Level Questions

GLM-4.6 Competitive Analysis

ModelContextAIME 25GPQAOverall
GLM-4.6200K98.6%82.9%63.2
GLM-4.5128K85.2%71.4%58.7
GPT-432K98.6%82.9%67.8
Claude-4100K91.3%78.5%65.2

如何使用GLM-4.6 GLM-4.6

几分钟内开始使用GLM-4.6

⬇️API集成

API集成

pip install transformers torch accelerate

2. Get API Key

export GLM_API_KEY="your_api_key_here"

3. Load Model

from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("THUDM/glm-4-9b-chat")
model = AutoModelForCausalLM.from_pretrained("THUDM/glm-4-9b-chat")

💻SDK支持

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

常见问题解答

关于GLM-4.6您需要了解的一切