# Qwen3-VL

Qwen3-VL is Alibaba's vision-language model. It accepts an image and a text prompt and returns a text response. We support Qwen3-VL through our [Serverless Hosted API](/deploy/serverless-hosted-api-v2.md), [Dedicated Deployments](/deploy/dedicated-deployments.md), and [self-hosted Inference](https://inference.roboflow.com/).

## Code sample

Install the [Inference SDK](https://inference.roboflow.com/):

```bash
pip install inference-sdk
```

Pass your [Roboflow API Key](https://app.roboflow.com/settings/api) via the `API_KEY` environment variable.

```python
import os
import urllib.request
from inference_sdk import InferenceHTTPClient

image_url = "https://media.roboflow.com/notebooks/examples/dog.jpeg"
image_path = "dog.jpeg"
urllib.request.urlretrieve(image_url, image_path)

client = InferenceHTTPClient(
    api_url="https://serverless.roboflow.com",
    api_key=os.getenv("API_KEY"),
)
result = client.infer_lmm(
    image_path,
    model_id="qwen3vl-2b-instruct",
    prompt="Describe this image briefly.",
    max_new_tokens=128,
)
print(result["response"])
```

The code above prints the model response to the terminal:

```
A person with a blue face and body is carrying a blue dog on their shoulders. The dog is panting with its tongue out. The person is wearing a black backpack and a black cap. The background shows a city street with a building and a blue car.
```

{% hint style="info" %}
Set `api_url` to match your deployment target:

* `https://serverless.roboflow.com` for the Serverless Hosted API.
* `http://localhost:9001` for a local [Inference](https://inference.roboflow.com/) server.
* Your [Dedicated Deployment](/deploy/dedicated-deployments.md) URL for a private endpoint.
  {% endhint %}

You can train your own Qwen3-VL checkpoint on Roboflow and call it by its `workspace/project/version` identifier.


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.roboflow.com/deploy/supported-models/qwen3-vl.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.