AI Models
GLM 5 Turbo
Zhipu's fast inference model. Optimized for speed with a 203K context window.
POST
$0.01/call/v1/ai/chatOverview
Zhipu's fast inference model. Optimized for speed with a 203K context window.
| Property | Value |
|---|---|
| Model ID | z-ai/glm-5-turbo |
| Context Window | 203,000 tokens |
| Max Output | 8,192 tokens |
| Input Price | $1.20 / 1M tokens |
| Output Price | $4.00 / 1M tokens |
Usage
const res = await fetch('https://api.yepapi.com/v1/ai/chat', {
method: 'POST',
headers: {
'x-api-key': 'YOUR_API_KEY',
'Content-Type': 'application/json',
},
body: JSON.stringify({
model: 'z-ai/glm-5-turbo',
messages: [{ role: 'user', content: 'List the top 5 design patterns used in modern web applications.' }],
}),
});
const { data } = await res.json();
console.log(data.message.content);curl -X POST https://api.yepapi.com/v1/ai/chat \
-H "x-api-key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "z-ai/glm-5-turbo", "messages": [{"role": "user", "content": "List the top 5 design patterns used in modern web applications."}]}'Request Body
| Parameter | Type | Required | Description | Default |
|---|---|---|---|---|
model | string | Yes | Model ID (e.g. z-ai/glm-5-turbo) | — |
messages | Message[] | Yes | Array of { role, content } objects | — |
maxTokens | number | No | Maximum tokens in the response | Model default |
temperature | number | No | Sampling temperature (0.0–2.0) | 1.0 |
topP | number | No | Nucleus sampling threshold | 1.0 |
frequencyPenalty | number | No | Penalize repeated tokens | 0 |
presencePenalty | number | No | Penalize tokens already present | 0 |
stream | boolean | No | Enable SSE streaming | false |
Info
All AI models use the /v1/ai/chat endpoint. Specify the model with the model field.
Response
{
"ok": true,
"data": {
"model": "z-ai/glm-5-turbo",
"message": {
"role": "assistant",
"content": "The top 5 design patterns in modern web apps are: 1) MVC/MVVM for separation of concerns, 2) Observer/Pub-Sub for event-driven architectures, 3) Singleton for shared state management, 4) Factory for component creation, and 5) Strategy for swappable algorithms."
},
"usage": {
"promptTokens": 16,
"completionTokens": 142,
"totalTokens": 158
}
}
}Streaming
Set "stream": true to receive Server-Sent Events. Each chunk contains a delta object:
data: {"delta":{"content":"The"},"model":"z-ai/glm-5-turbo","index":0}
data: [DONE]Under the Hood
We handle auth, billing, and response normalization — you just send messages.