GLM-5.2 · vultr
GLM-5.2 is Z.ai's flagship model for long-horizon tasks, sustaining agentic work across a solid 1M-token context. It offers stronger coding with flexible thinking-effort levels and an improved MTP layer for faster speculative decoding, under an MIT license.
Input, $/1M $0.75
Output, $/1M $3.00
Price alerts
API
OpenAI-compatible API: the official OpenAI SDKs work with this base URL. Replace YOUR_API_KEY with your key from the provider.
| API base URL | |
|---|---|
| Endpoint | |
| Model id | |
curl
curl https://api.vultrinference.com/v1/chat/completions \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "glm-5.2", "messages": [{"role": "user", "content": "Hello!"}], "max_tokens": 256}'Python
import requests
r = requests.post(
"https://api.vultrinference.com/v1/chat/completions",
headers={"Authorization": "Bearer YOUR_API_KEY"},
json={
"model": "glm-5.2",
"messages": [
{
"role": "user",
"content": "Hello!"
}
],
"max_tokens": 256
},
)
print(r.json())JavaScript
const r = await fetch("https://api.vultrinference.com/v1/chat/completions", {
method: "POST",
headers: {Authorization: "Bearer YOUR_API_KEY", "Content-Type": "application/json"},
body: JSON.stringify({
"model": "glm-5.2",
"messages": [
{
"role": "user",
"content": "Hello!"
}
],
"max_tokens": 256
}),
});
console.log(await r.json());Request (JSON)
{
"model": "glm-5.2",
"messages": [
{
"role": "user",
"content": "Hello!"
}
],
"max_tokens": 256
}Response (JSON)
{
"id": "chatcmpl-...",
"object": "chat.completion",
"model": "glm-5.2",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "Hi! How can I help?"
},
"finish_reason": "stop"
}
],
"usage": {
"prompt_tokens": 9,
"completion_tokens": 12,
"total_tokens": 21
}
}The address is taken from the provider's model list; check it against the provider's documentation.
Source: AI Rate Card, https://airatecard.com/en/c/offer%3Avultr%7Cglm-5.2, prices checked 2026-11-04; seller's page: https://vultrinference.com
Technical details
ID: offer:vultr|glm-5.2