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:
Roboflow Visual Search,Semantic Segmentation Model,Image Preprocessing,Absolute Static Crop,Polygon Zone Visualization,Morphological Transformation,Color Visualization,Trace Visualization,Keypoint Detection Model,SIFT Comparison,Stability AI Outpainting,Reference Path Visualization,Morphological Transformation,Camera Calibration,Dot Visualization,Stability AI Inpainting,Multi-Label Classification Model,Halo Visualization,Triangle Visualization,Crop Visualization,Image Convert Grayscale,Classification Label Visualization,Model Comparison Visualization,Camera Focus,Bounding Box Visualization,Image Contours,Image Slicer,Camera Focus,Heatmap Visualization,Stitch Images,Keypoint Visualization,Polygon Visualization,Halo Visualization,Single-Label Classification Model,Dynamic Crop,Stability AI Image Generation,Object Detection Model,Relative Static Crop,Contrast Equalization,Perspective Correction,Image Slicer,Polygon Visualization,QR Code Generator,Instance Segmentation Model,Roboflow Visual Search Classifier,Instance Segmentation Model,Circle Visualization,Multi-Label Classification Model,Contrast Enhancement,Grid Visualization,Text Display,Semantic Segmentation Model,Depth Estimation,Ellipse Visualization,Image Threshold,Icon Visualization,Blur Visualization,Pixelate Visualization,Line Counter Visualization,Corner Visualization,Single-Label Classification Model,Keypoint Detection Model,Image Blur,Label Visualization,SIFT,Instance Segmentation Model,Background Subtraction,Object Detection Model,Background Color Visualization,Mask Visualization - outputs:
Detections Consensus,Microsoft SQL Server Sink,Per-Class Confidence Filter,Roboflow Asset Library Attributes,SAM 3,PLC EthernetIP
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."
}