Qwen: Qwen3 VL 235B A22B Instruct

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 extraction, multilingual OCR). The series emphasizes robust perception (recognition of diverse real-world and synthetic categories), spatial understanding (2D/3D grounding), and long-form visual comprehension, with competitive results on public multimodal benchmarks for both perception and reasoning. Beyond analysis, Qwen3-VL supports agentic interaction and tool use: it can follow complex instructions over multi-image, multi-turn dialogues; align text to video timelines for precise temporal queries; and operate GUI elements for automation tasks. The models also enable visual coding workflows—turning sketches or mockups into code and assisting with UI debugging—while maintaining strong text-only performance comparable to the flagship Qwen3 language models. This makes Qwen3-VL suitable for production scenarios spanning document AI, multilingual OCR, software/UI assistance, spatial/embodied tasks, and research on vision-language agents.

API 사용법

from openai import OpenAI

client = OpenAI(
    api_key="your-dream-api-key",
    base_url="https://api.invoicedream.co.kr/v1"
)

response = client.chat.completions.create(
    model="qwen/qwen3-vl-235b-a22b-instruct",
    messages=[
        {"role": "user", "content": "안녕하세요"}
    ]
)

print(response.choices[0].message.content)

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'your-dream-api-key',
  baseURL: 'https://api.invoicedream.co.kr/v1'
});

const response = await client.chat.completions.create({
  model: 'qwen/qwen3-vl-235b-a22b-instruct',
  messages: [{ role: 'user', content: '안녕하세요' }]
});

console.log(response.choices[0].message.content);

curl https://api.invoicedream.co.kr/v1/chat/completions \
  -H "Authorization: Bearer your-dream-api-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen/qwen3-vl-235b-a22b-instruct",
    "messages": [{"role": "user", "content": "안녕하세요"}]
  }'

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