GLM 4.5

Z.ai · Teks · Konteks 128K · output maks 96K token

glm-4.5 Coba

Harga

Per 1 juta token
MarkasAIHarga list vendor
InputRp 7.761Rp 10.734
OutputRp 28.456Rp 39.358
CacheRp 1.424
Tulis cacheRp 7.761

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-4.5
Provider
Z.ai
Jenis
Teks
Endpoint
POST /v1/chat/completions
Jendela konteks
128.000 token
Batas output per permintaan
96.000 token

Tentang model ini

GLM-4.5 is our latest flagship foundation model, purpose-built for agent-based applications. It leverages a Mixture-of-Experts (MoE) architecture and supports a context length of up to 128k tokens. GLM-4.5 delivers significantly...

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-4.5",
    "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-4.5",
    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-4.5",
  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

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