Qwen3-VL¶
Deprecated
Use the unified Qwen-VL block (roboflow_core/qwen_vlm@v1), which exposes Qwen 3 VL alongside other Qwen variants and the OpenRouter passthrough.
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:
Polygon Visualization,QR Code Generator,Keypoint Detection Model,Halo Visualization,Camera Focus,SIFT Comparison,Semantic Segmentation Model,Multi-Label Classification Model,Classification Label Visualization,Circle Visualization,Mask Visualization,Multi-Label Classification Model,Morphological Transformation,Camera Calibration,Bounding Box Visualization,SIFT,Image Slicer,Image Preprocessing,Semantic Segmentation Model,Text Display,Image Slicer,Corner Visualization,Absolute Static Crop,Image Contours,Image Blur,Keypoint Detection Model,Halo Visualization,Dynamic Crop,Dot Visualization,Polygon Zone Visualization,Reference Path Visualization,Instance Segmentation Model,Label Visualization,Icon Visualization,Background Color Visualization,Image Threshold,Single-Label Classification Model,Ellipse Visualization,Depth Estimation,Line Counter Visualization,Stability AI Outpainting,Contrast Enhancement,Object Detection Model,Triangle Visualization,Crop Visualization,Stitch Images,Blur Visualization,Perspective Correction,Morphological Transformation,Stability AI Image Generation,Relative Static Crop,Model Comparison Visualization,Color Visualization,Heatmap Visualization,Trace Visualization,Contrast Equalization,Instance Segmentation Model,Object Detection Model,Camera Focus,Grid Visualization,Pixelate Visualization,Polygon Visualization,Instance Segmentation Model,Image Convert Grayscale,Keypoint Visualization,Background Subtraction,Single-Label Classification Model,Stability AI Inpainting - outputs:
Roboflow Asset Library Attributes,Detections Consensus,SAM 3,Per-Class Confidence Filter
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."
}