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.
Runtime compatibility¶
-
hard— runtimeself_hosted_cpu; executionlocal - Requires a GPU; run_locally() loads a model that needs CUDA.
Available Connections¶
Compatible Blocks
Check what blocks you can connect to Qwen3-VL in version v1.
- inputs:
Text Display,Single-Label Classification Model,Crop Visualization,Image Slicer,Stitch Images,Instance Segmentation Model,Image Threshold,Image Blur,Color Visualization,Classification Label Visualization,Camera Calibration,Corner Visualization,Dynamic Crop,Mask Visualization,QR Code Generator,Reference Path Visualization,Image Slicer,Absolute Static Crop,Polygon Visualization,Polygon Zone Visualization,Instance Segmentation Model,Contrast Equalization,Roboflow Visual Search,Halo Visualization,Pixelate Visualization,SIFT Comparison,SIFT,Contrast Enhancement,Morphological Transformation,Background Subtraction,Keypoint Detection Model,Line Counter Visualization,Auto Rotate on Edges,Ellipse Visualization,Multi-Label Classification Model,Circle Visualization,Image Contours,Camera Focus,Heatmap Visualization,Triangle Visualization,Stability AI Image Generation,Trace Visualization,Grid Visualization,Bounding Box Visualization,Perspective Correction,Icon Visualization,Camera Focus,Dot Visualization,Morphological Transformation,Stability AI Outpainting,Semantic Segmentation Model,Semantic Segmentation Model,Keypoint Visualization,Relative Static Crop,Label Visualization,Object Detection Model,Background Color Visualization,Object Detection Model,Instance Segmentation Model,Roboflow Visual Search Classifier,Multi-Label Classification Model,Single-Label Classification Model,Depth Estimation,Model Comparison Visualization,Blur Visualization,Keypoint Detection Model,Image Preprocessing,Halo Visualization,Polygon Visualization,Stability AI Inpainting,Image Convert Grayscale - outputs:
Detections Consensus,Roboflow Asset Library Attributes,SAM 3,Per-Class Confidence Filter,PLC EthernetIP,Microsoft SQL Server Sink
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."
}