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