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