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Qwen3-VL operates as a visual agent for mobile devices, recognizing UI elements, understanding their functions, and enabling automated mobile phone control through localization and reasoning.

Capability Overview

The mobile agent feature enables you to:
  • Recognize mobile UI elements and controls
  • Understand element functions and purposes
  • Locate interactive components on screen
  • Enable automated mobile phone control
  • Perform UI testing and interaction
  • Support mobile automation workflows

Example Usage

from transformers import AutoModelForImageTextToText, AutoProcessor

model = AutoModelForImageTextToText.from_pretrained(
    "Qwen/Qwen3-VL-235B-A22B-Instruct", dtype="auto", device_map="auto"
)
processor = AutoProcessor.from_pretrained("Qwen/Qwen3-VL-235B-A22B-Instruct")

messages = [
    {
        "role": "user",
        "content": [
            {
                "type": "image",
                "image": "path/to/mobile_screenshot.jpg",
            },
            {"type": "text", "text": "Identify all clickable elements and their functions on this mobile screen."},
        ],
    }
]

inputs = processor.apply_chat_template(
    messages,
    tokenize=True,
    add_generation_prompt=True,
    return_dict=True,
    return_tensors="pt"
)
inputs = inputs.to(model.device)

generated_ids = model.generate(**inputs, max_new_tokens=512)
generated_ids_trimmed = [
    out_ids[len(in_ids) :] for in_ids, out_ids in zip(inputs.input_ids, generated_ids)
]
output_text = processor.batch_decode(
    generated_ids_trimmed, skip_special_tokens=True, clean_up_tokenization_spaces=False
)
print(output_text)

Try it Yourself

Explore the full mobile agent cookbook with interactive examples: Open in Colab View on GitHub