GLM 5.3 Flash
Z.ai · Teks · Konteks 1.05M · output maks 1.05M token
glm-5.3-flash
Coba
Harga
| MarkasAI | Harga list vendor | |
|---|---|---|
| Input | Rp 1.941 | Rp 2.684 |
| Output | Rp 6.468 | Rp 8.945 |
| Cache | Rp 389 | |
| Tulis cache | Rp 1.941 |
Harga jual MarkasAI dalam Rupiah, dibaca dari katalog yang sama dengan GET /v1/models. Harga dapat berubah dan berlaku untuk permintaan berikutnya.
Spesifikasi
- ID model
glm-5.3-flash- Provider
- Z.ai
- Jenis
- Teks
- Endpoint
POST /v1/chat/completions- Jendela konteks
- 1.048.576 token
- Batas output per permintaan
- 1.048.576 token
Tentang model ini
GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while...
Kutipan dari katalog publik penyedia, dalam bahasa Inggris.
Contoh pemanggilan
curl https://api.markas.ai.id/v1/chat/completions \
-H "Authorization: Bearer $MARKASAI_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "glm-5.3-flash",
"messages": [{"role": "user", "content": "Apa itu API?"}],
"max_tokens": 300
}'
import os
from openai import OpenAI
client = OpenAI(base_url="https://api.markas.ai.id/v1", api_key=os.environ["MARKASAI_API_KEY"])
resp = client.chat.completions.create(
model="glm-5.3-flash",
messages=[{"role": "user", "content": "Apa itu API?"}],
max_tokens=300,
)
print(resp.choices[0].message.content)
import OpenAI from "openai";
const client = new OpenAI({ baseURL: "https://api.markas.ai.id/v1", apiKey: process.env.MARKASAI_API_KEY });
const resp = await client.chat.completions.create({
model: "glm-5.3-flash",
messages: [{ role: "user", content: "Apa itu API?" }],
max_tokens: 300,
});
console.log(resp.choices[0].message.content);
Simpan API key di variabel lingkungan MARKASAI_API_KEY. Baca dokumentasi endpoint