GLM 4.7 API - 開発者向け完全ガイド

What is GLM 4.7 API?

The GLM 4.7 API (also known as GLM-4.7 API) is the latest generation API from Zhipu AI (智谱AI), providing access to the powerful GLM-4.7 language model. This API enables developers to integrate state-of-the-art AI capabilities into their applications with minimal effort.

GLM-4.7 represents a significant advancement in Chinese-English bilingual language models, combining advanced reasoning capabilities with exceptional performance across multiple benchmarks. The model excels in natural language understanding, code generation, mathematical reasoning, and long-context processing.

GLM 4.7 API Features

The GLM-4.7 API offers a comprehensive set of features designed for modern AI applications:

Additional Capabilities

• •Function Calling: Native tool integration for web search, database queries, and custom APIs
• •Streaming Responses: Real-time token-by-token output for responsive user experiences
• •Low Latency: Optimized inference engine delivers responses in under 2 seconds for typical queries
• •High Throughput: Handles concurrent requests efficiently for production workloads

How to Access GLM 4.7 API

There are two main ways to access the GLM-4.7 API:

Option 1: Official Zhipu AI Platform

1. Visit open.bigmodel.cn
2. Register for an account and complete verification
3. Navigate to the API Keys section in your dashboard
4. Generate a new API key
5. Start making API calls (pay full official pricing)

Option 2: Our Proxy Service (Recommended - 40% Off)

GLM 4.7 API Pricing Comparison

Understanding the pricing structure is crucial for budgeting your AI applications. Here's a detailed comparison between official pricing and our proxy service:

For complete pricing details across all GLM models including GLM-4V, CogView, and CogVideoX, visit our comprehensive pricing page.

GLM 4.7 API Code Example

Here's a simple Python example to get started with the GLM-4.7 API:

import requests
import json

# Using our proxy service (40% off)
API_URL = "https://api.glm-api.org/v1/chat/completions"
API_KEY = "your-api-key-here"

def call_glm_api(prompt):
    headers = {
        "Authorization": f"Bearer {API_KEY}",
        "Content-Type": "application/json"
    }

    data = {
        "model": "glm-4-plus",  # or glm-4-air, glm-4-long
        "messages": [
            {
                "role": "user",
                "content": prompt
            }
        ],
        "temperature": 0.7,
        "max_tokens": 2000,
        "stream": False
    }

    response = requests.post(API_URL, headers=headers, json=data)
    result = response.json()

    return result['choices'][0]['message']['content']

# Example usage
prompt = "Explain quantum computing in simple terms"
answer = call_glm_api(prompt)
print(answer)

Streaming Response Example

For real-time responses in chatbots or interactive applications:

import requests

def call_glm_stream(prompt):
    headers = {
        "Authorization": f"Bearer {API_KEY}",
        "Content-Type": "application/json"
    }

    data = {
        "model": "glm-4-plus",
        "messages": [{"role": "user", "content": prompt}],
        "stream": True  # Enable streaming
    }

    response = requests.post(API_URL, headers=headers, json=data, stream=True)

    for line in response.iter_lines():
        if line:
            # Process each chunk as it arrives
            chunk = line.decode('utf-8')
            if chunk.startswith('data: '):
                print(chunk[6:], end='', flush=True)

# Real-time streaming output
call_glm_stream("Write a Python function to sort a list")

For more detailed integration guides, check our official documentation.

GLM 4.7 vs Competitors

How does the GLM-4.7 API stack up against other popular AI models?

Bottom line: For applications requiring Chinese language support or cost-effective AI integration, GLM-4.7 API offers exceptional value. It competes directly with GPT-4 in code generation while being 10x cheaper.

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