Qwen3 VL Plus

Qwen3 VL Plus API Overview

Qwen3 VL Plus is a state-of-the-art multimodal model from the third generation Qwen series, designed to integrate deep understanding of both text and images. It excels at visual question answering, scene description, object recognition, OCR text reading, and reasoning based on visual input, making it ideal for analytics, dialog assistants, and diverse visual scenarios.

Technical Specifications

• Architecture: Dense and Mixture-of-Experts (MoE) variants with Instruct and Thinking editions
• Context Length: Native support for 262.144K tokens
• Multimodal Inputs: Text, images, video (enhanced spatial & temporal reasoning)
• OCR Support: Robust recognition in 32 languages, including low light, blur, and tilt conditions
• Enhanced Image-Text Alignment: DeepStack feature fusion for fine-grained details and sharper multimodal correspondence

Performance Benchmarks

• Holds a leading position in global multimodal benchmarks, outperforming competitors such as Gemini 2.5 Flash and Claude Sonnet 4.5
• Demonstrates state-of-the-art results in visual question answering, object detection, and video understanding tasks
• Achieves competitive or superior scores on multimodal reasoning and perception tests compared to proprietary baselines

Key Features

• Superior visual perception supporting complex scene interpretation and spatial reasoning, including 3D grounding
• Seamless text-vision fusion enabling lossless understanding and generation of multimodal content
• Advanced OCR capable of detecting rare and specialized characters in various languages
• Long context and video comprehension supporting multi-hour content analysis with high recall accuracy
• Multimodal reasoning enhanced for STEM, math, and logical causal analysis tasks
• Visual agent functionality allows operating graphical interfaces and invoking tools programmatically

Qwen3 VL Plus API Pricing

0 – 32K tokens

• Input: $0.21 per 1M tokens
• Output: $1.68 per 1M tokens

32K – 128K tokens

• Input: $0.315 per 1M tokens
• Output: $2.52 per 1M tokens

128K – 256K tokens

• Input: $0.63 per 1M tokens
• Output: $5.04 per 1M tokens

Use Cases

• Visual question answering and interactive dialog systems combining text and image inputs
• Scene recognition and description for analytics and surveillance applications
• OCR and document parsing across multiple languages and challenging imaging conditions
• Multimodal reasoning tasks in education, research, and technical domains like STEM
• Automated UI operations and complex task execution in PC/mobile environments

Code Sample

Comparison with Other Models

vs Gemini 2.5 Flash: Qwen3 VL Plus outperforms Gemini 2.5 Flash on key perception benchmarks and offers broader language and OCR support.

vs Claude Sonnet 4.5: Qwen3-VL-Plus achieves superior visual question answering accuracy and better video temporal localization capabilities.

vs Qwen3 32B: Qwen3 VL Plus provides enhanced multimodal reasoning and substantially longer context windows for complex tasks.

vs Claude Opus 4.1: Claude Opus 4.1 is priced much higher (30x-60x) than Qwen3-VL-Plus and is optimized for conservative multi-file software engineering workflows. Qwen3-VL-Plus offers superior visual question answering, scene analysis, and long video reasoning, making it more versatile for multimodal analytic and dialog assistant scenarios.