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Qwen3.5-VL

Run Qwen3.5-VL on an image.

This workflow block runs Qwen3.5-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/qwen3_5vl@v1 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-VL. Otherwise it will just be a default one, which may affect the desired model behavior..

model_version

str

The Qwen3.5-VL model to be used for inference..

system_prompt

str

Optional system prompt to provide additional context to Qwen3.5-VL..

enable_thinking

bool

If true, enables Qwen3.5-VL's thinking mode, which allows the model to generate reasoning tokens before answering. The thinking output will be returned in the 'thinking' field..

max_new_tokens

int

Maximum number of tokens to generate. If not set, the model's default will be used. Consider increasing for thinking mode..

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-VL in version v1 has.

Input and output bindings
  • input

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

    • prompt (string): Optional text prompt to provide additional context to Qwen3.5-VL. Otherwise it will just be a default one, which may affect the desired model behavior..

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

    • system_prompt (string): Optional system prompt to provide additional context to Qwen3.5-VL..

  • output

Example JSON definition

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