Qwen3-VL

Class: Qwen3VLBlockV1

Source: inference.core.workflows.core_steps.models.foundation.qwen3vl.v1.Qwen3VLBlockV1

This workflow block runs Qwen3-VL—a vision language model that accepts an image and an optional text prompt—and returns a text answer based on a conversation template.

Type identifier

Use the following identifier in step "type" field: roboflow_core/qwen3vl@v1to add the block as as step in your workflow.

Properties

Name	Type	Description	Refs
name	str	Enter a unique identifier for this step..	❌
prompt	str	Optional text prompt to provide additional context to Qwen3-VL. Otherwise it will just be a default one, which may affect the desired model behavior..	❌
model_version	str	The Qwen3-VL model to be used for inference..	✅
system_prompt	str	Optional system prompt to provide additional context to Qwen3-VL..	❌

The Refs column marks possibility to parametrise the property with dynamic values available in workflow runtime. See Bindings for more info.

Available Connections

Compatible Blocks

Check what blocks you can connect to Qwen3-VL in version v1.

• inputs: Corner Visualization, Color Visualization, Multi-Label Classification Model, Image Slicer, Camera Calibration, Image Blur, QR Code Generator, Image Convert Grayscale, Dot Visualization, Image Threshold, Object Detection Model, Dynamic Crop, Blur Visualization, Morphological Transformation, Label Visualization, Background Color Visualization, Bounding Box Visualization, SIFT, Classification Label Visualization, Camera Focus, Stability AI Outpainting, Keypoint Visualization, Trace Visualization, Keypoint Detection Model, Instance Segmentation Model, Polygon Visualization, Mask Visualization, Pixelate Visualization, Absolute Static Crop, Ellipse Visualization, Model Comparison Visualization, Triangle Visualization, Grid Visualization, Contrast Equalization, Image Preprocessing, Polygon Zone Visualization, Relative Static Crop, Stability AI Inpainting, Halo Visualization, Image Contours, Line Counter Visualization, Stitch Images, Crop Visualization, Stability AI Image Generation, Single-Label Classification Model, Icon Visualization, Circle Visualization, SIFT Comparison, Depth Estimation, Background Subtraction, Camera Focus, Image Slicer, Perspective Correction, Reference Path Visualization
• outputs: Detections Consensus

Input and Output Bindings

The available connections depend on its binding kinds. Check what binding kinds Qwen3-VL in version v1 has.

Bindings

• input

  • images (image): The image to infer on..
  • model_version (roboflow_model_id): The Qwen3-VL model to be used for inference..

• output

  • parsed_output (dictionary): Dictionary.

Example JSON definition of step Qwen3-VL in version v1

{
    "name": "<your_step_name_here>",
    "type": "roboflow_core/qwen3vl@v1",
    "images": "$inputs.image",
    "prompt": "What is in this image?",
    "model_version": "qwen3vl-2b-instruct",
    "system_prompt": "You are a helpful assistant."
}