MarkasAI Daftar

Qwen3 Next 80B A3B Instruct

Qwen · Teks · Konteks 256K · output maks 262.1K token

qwen3-next-80b-a3b-instruct Coba

Harga

Per 1 juta token
MarkasAIHarga list vendor
InputRp 2.294Rp 2.684
OutputRp 18.345Rp 21.468
CacheRp 2.294
Tulis cacheRp 2.294

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
qwen3-next-80b-a3b-instruct
Provider
Qwen
Jenis
Teks
Endpoint
POST /v1/chat/completions
Jendela konteks
256.000 token
Batas output per permintaan
262.114 token

Tentang model ini

Qwen3-Next-80B-A3B-Instruct is an instruction-tuned chat model in the Qwen3-Next series optimized for fast, stable responses without “thinking” traces. It targets complex tasks across reasoning, code generation, knowledge QA, and multilingual...

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": "qwen3-next-80b-a3b-instruct",
    "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="qwen3-next-80b-a3b-instruct",
    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: "qwen3-next-80b-a3b-instruct",
  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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