Qwen3 VL Instruct
Qwen3 VL Instruct is Alibaba's multimodal model designed for precise instruction following with both text and image inputs. Unlike the Thinking variant, it prioritizes direct, concise responses — making it ideal for production pipelines where you need structured outputs from visual inputs without extended reasoning overhead.
The model handles diverse visual tasks — OCR, image captioning, visual Q&A, document extraction, and scene description — with strong multilingual output across 30+ languages. Its consistent instruction adherence makes it reliable for automated workflows where output format predictability is critical.
Key Features
Precise instruction following with image and text inputs
Production-grade OCR and document extraction
Image captioning and visual Q&A in 30+ languages
Consistent structured output for automated pipelines
Multi-image processing within 128K context
Efficient inference without reasoning overhead
Ideal Use Cases
Automated document extraction and OCR pipelines
Product image captioning for e-commerce catalogs
Multilingual visual content moderation
Structured data extraction from charts and forms
Technical Specifications
| Context Window | 128K tokens |
| Modality | Text, Image → Text |
| Provider | Alibaba |
| Category | Text Generation |
| Vision | Supported |
| Multilingual | 30+ languages |
API Usage
1 curl -X POST https://api.vincony.com/v1/chat/completions \ 2 -H "Authorization: Bearer YOUR_API_KEY" \ 3 -H "Content-Type: application/json" \ 4 -d '{ 5 "model": "alibaba/qwen3-vl-instruct", 6 "messages": [ 7 { "role": "user", "content": "Hello, Qwen3 VL Instruct!" } 8 ] 9 }'
Replace YOUR_API_KEY with your Vincony API key. OpenAI-compatible endpoint — works with any OpenAI SDK.
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Frequently Asked Questions
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