Qwen3.5

Run Qwen3.5 on an image.

This workflow block runs Qwen3.5-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/qwen3_5vl@v2 to add the block as a 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 Qwen3.5. Otherwise it will just be a default one, which may affect the desired model behavior..	❌
model_version	str	The Qwen3.5 model to be used for inference..	✅
system_prompt	str	Optional system prompt to provide additional context to Qwen3.5..	❌
max_new_tokens	int	Maximum number of tokens to generate. If not set, the model's default will be used..	❌

The Refs column marks possibility to parametrise the property with dynamic values available in workflow runtime. See Bindings for more info.

Runtime compatibility

hard - runtime self_hosted_cpu; execution local : Requires a GPU; run_locally() loads a model that needs CUDA.

Input and Output Bindings

The available connections depend on its binding kinds. Check what binding kinds Qwen3.5 in version v2 has.

Input and output bindings

• input

  • images (image): The image to infer on..

  • model_version (roboflow_model_id): The Qwen3.5 model to be used for inference..

• output

  • parsed_output (dictionary): Dictionary.

Example JSON definition

{
	    "name": "<your_step_name_here>",
	    "type": "roboflow_core/qwen3_5vl@v2",
	    "images": "$inputs.image",
	    "prompt": "What is in this image?",
	    "model_version": "qwen3_5-0.8b",
	    "system_prompt": "You are a helpful assistant.",
	    "max_new_tokens": "<block_does_not_provide_example>"
	}