Qwen3 VL 235B A22B Instruct
Qwen · Teks · Konteks 256K · output maks 129K token
qwen3-vl-235b-a22b-instruct
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Harga
| MarkasAI | Harga list vendor | |
|---|---|---|
| Input | Rp 6.116 | Rp 7.156 |
| Output | Rp 24.459 | Rp 28.624 |
| Cache | Rp 6.116 | |
| Tulis cache | Rp 6.116 |
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-vl-235b-a22b-instruct- Provider
- Qwen
- Jenis
- Teks
- Endpoint
POST /v1/chat/completions- Jendela konteks
- 256.000 token
- Batas output per permintaan
- 129.024 token
Tentang model ini
Qwen3-VL-235B-A22B Instruct is an open-weight multimodal model that unifies strong text generation with visual understanding across images and video. The Instruct model targets general vision-language use (VQA, document parsing, chart/table...
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-vl-235b-a22b-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-vl-235b-a22b-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-vl-235b-a22b-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