GLM-5 API — Access Zhipu AI GLM-5 via AIsa
GLM-5 API: Access Zhipu AI's GLM-5
GLM-5 is the latest flagship model from Zhipu AI, one of China's leading AI research labs and the team behind the General Language Model (GLM) architecture. GLM-5 delivers strong reasoning, coding, and multilingual capability — with particular strengths in Chinese-language tasks and long-form analytical work.
Through AIsa, you access GLM-5 with a single OpenAI-compatible API key. No Zhipu account, no separate billing, no Chinese phone number required.
Supported GLM models
| Model | Context window | Best for | Input price* | Output price* |
|---|---|---|---|---|
GLM-5 | 200,000 tokens | General reasoning, coding, Chinese-English bilingual tasks | $0.4011/M | $1.8053/M |
* See marketplace.aisa.one/pricing for current AIsa rates.
Quickstart
Python
from openai import OpenAI
client = OpenAI(
api_key="YOUR_AISA_API_KEY",
base_url="https://api.aisa.one/v1"
)
response = client.chat.completions.create(
model="GLM-5",
messages=[
{"role": "user", "content": "Explain the key differences between transformer and state space model architectures."}
]
)
print(response.choices[0].message.content)Node.js
import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.AISA_API_KEY,
baseURL: "https://api.aisa.one/v1",
});
const response = await client.chat.completions.create({
model: "GLM-5",
messages: [
{ role: "user", content: "Write a Python function that implements binary search with detailed comments." }
],
});
console.log(response.choices[0].message.content);Streaming
stream = client.chat.completions.create(
model="GLM-5",
messages=[{"role": "user", "content": "Analyse the competitive dynamics of China's cloud computing market."}],
stream=True
)
for chunk in stream:
if chunk.choices[0].delta.content:
print(chunk.choices[0].delta.content, end="", flush=True)Model guide
GLM-5 — Zhipu AI's flagship
Zhipu AI has been building large language models since 2019 and GLM-5 represents the maturation of their architecture. The model is particularly strong on Chinese-language reasoning, structured analytical tasks, and code generation — making it a natural fit for applications targeting Chinese markets or bilingual workflows.
Use when you need:
- High-quality Chinese-language generation and reasoning
- Bilingual Chinese-English document processing or translation
- Code generation and technical problem-solving in Chinese development contexts
- A capable general-purpose model with a distinct training profile from Alibaba and ByteDance models
# Chinese-language reasoning
response = client.chat.completions.create(
model="GLM-5",
messages=[
{"role": "system", "content": "你是一位资深商业分析师。"},
{"role": "user", "content": "请分析中国新能源汽车市场的竞争格局,重点关注比亚迪、理想、蔚来的差异化战略。"}
]
)
# Bilingual document processing
response = client.chat.completions.create(
model="GLM-5",
messages=[
{"role": "user", "content": "Translate the following contract clause to Chinese, then flag any terms that may require localisation for PRC law compliance:\n\n[clause text]"}
]
)
# Code generation
response = client.chat.completions.create(
model="GLM-5",
messages=[
{"role": "system", "content": "You are an expert software engineer."},
{"role": "user", "content": "Implement a thread-safe LRU cache in Python with a configurable max size and TTL."}
]
)Function calling
GLM-5 supports function calling with the standard OpenAI tool-calling schema:
tools = [
{
"type": "function",
"function": {
"name": "get_market_data",
"description": "Retrieve financial market data for a given ticker symbol",
"parameters": {
"type": "object",
"properties": {
"ticker": {"type": "string", "description": "Stock ticker symbol (e.g. 600519.SS for Moutai)"},
"period": {"type": "string", "enum": ["1d", "1w", "1m", "1y"]}
},
"required": ["ticker"]
}
}
}
]
response = client.chat.completions.create(
model="GLM-5",
messages=[{"role": "user", "content": "Get the last month of data for BYD and summarise the trend."}],
tools=tools,
tool_choice="auto"
)Switching from Zhipu AI's API directly
If you've been using Zhipu AI's BigModel platform directly, switching to AIsa takes one change:
# Zhipu AI direct
from zhipuai import ZhipuAI
client = ZhipuAI(api_key="your-zhipu-key")
# AIsa — OpenAI-compatible, same model
from openai import OpenAI
client = OpenAI(
api_key="YOUR_AISA_API_KEY",
base_url="https://api.aisa.one/v1"
)
response = client.chat.completions.create(
model="GLM-5",
messages=[{"role": "user", "content": "Your prompt here"}]
)Benefits of routing via AIsa: unified billing across all your models, automatic failover, and no need to manage a separate Zhipu account or Chinese entity verification.
Data privacy
GLM-5 is accessed through AIsa's enterprise agreement with Zhipu AI. Customer data is not used for model training. For compliance requirements, contact us.
What's next
- All Chinese AI models — full model comparison table
- Qwen models — Alibaba's 1M-context flagship with Key Account partner pricing
- DeepSeek V3.2 — cost-efficient general use and coding
- Kimi K2.5 — 1T parameter MoE for agentic and visual coding tasks
- ByteDance Seed & Seedream — Seed series and Seedream 4.5 image generation
- MiniMax-M2.5 — 196K context, strong multilingual reasoning
Updated 10 days ago
