Qwen: Qwen3 VL 8B Thinking
Qwen3-VL-8B-Thinking is the reasoning-optimized variant of the Qwen3-VL-8B multimodal model, designed for advanced visual and textual reasoning across complex scenes, documents, and temporal sequences. It integrates enhanced multimodal alignment and long-context processing (native 256K, expandable to 1M tokens) for tasks such as scientific visual analysis, causal inference, and mathematical reasoning over image or video inputs. Compared to the Instruct edition, the Thinking version introduces deeper visual-language fusion and deliberate reasoning pathways that improve performance on long-chain logic tasks, STEM problem-solving, and multi-step video understanding. It achieves stronger temporal grounding via Interleaved-MRoPE and timestamp-aware embeddings, while maintaining robust OCR, multilingual comprehension, and text generation on par with large text-only LLMs.
OpenRouter 원가 (1M 토큰)
인보이스랩 (월 예상)
입력 0.5M + 출력 0.5M 기준
모델 정보
기본 정보
| 모델 ID | qwen/qwen3-vl-8b-thinking |
| 제공사 | Alibaba Qwen |
| 컨텍스트 윈도우 | 256,000 토큰 |
| 모달리티 | text+image->text |
지원 기능
API 사용법
Python (OpenAI SDK 호환)
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-8b-thinking",
messages=[
{"role": "user", "content": "안녕하세요"}
]
)
print(response.choices[0].message.content)Node.js / TypeScript
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-8b-thinking',
messages: [{ role: 'user', content: '안녕하세요' }]
});
console.log(response.choices[0].message.content);cURL
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-8b-thinking",
"messages": [{"role": "user", "content": "안녕하세요"}]
}'💡 Tip: OpenAI SDK를 그대로 사용할 수 있습니다.base_url만 변경하면 됩니다!