Qwen 3.5¶

Qwen 3.5 is a vision-language model developed by Alibaba.

You can use Qwen 3.5 for a range of multimodal tasks, including image understanding, visual question answering, and document analysis. It also supports a "thinking" mode that lets the model generate reasoning tokens before answering.

You can deploy Qwen 3.5 with Inference.

Model Variants¶

Qwen 3.5 is available in three sizes:

Execution Modes¶

Qwen 3.5 supports both local and remote execution modes when used in workflows:

• Local execution: The model runs directly on your inference server (GPU recommended)
• Remote execution: The model can be invoked via HTTP API on a remote inference server

Installation¶

To install inference with the extra dependencies necessary to run Qwen 3.5, run

pip install "inference[transformers]"

or

pip install "inference-gpu[transformers]"

How to Use Qwen 3.5¶

Create a new Python file called app.py and add the following code:

from inference.models.qwen3_5vl.qwen3_5vl_inference_models import (
    InferenceModelsQwen35VLAdapter,
)

model = InferenceModelsQwen35VLAdapter(
    model_id="qwen3_5-0.8b",
    api_key="YOUR_ROBOFLOW_API_KEY",
)

image = "https://media.roboflow.com/dog.jpeg"
prompt = "How many dogs are in this image?"

preprocessed, metadata = model.preprocess(image, prompt)
predictions = model.predict(preprocessed)
result = model.postprocess(predictions, metadata)

print(result[0].response)

Above, replace:

1. prompt with the prompt for the model.
2. The image URL with the path to the image that you want to run inference on.

To use Qwen 3.5 with Inference, you will need a Roboflow API key. If you don't already have a Roboflow account, sign up for a free Roboflow account.

Then, run the Python script you have created:

python app.py

The result from your model will be printed to the console.