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Qwen3-VL Instruct

by Alibaba

Chat Vision Tools

Alibaba's Qwen3-VL Instruct (qwen3_vl family) — vision, tool use; 262K context.

Publisher
Alibaba
Context window
256K tokens
Sizes
2B, 4B, 8B, 30B, 32B, 235B
Licence
Apache 2.0
Model card on Hugging Face

Run Qwen3-VL Instruct

Install it on a Pendra worker, then call it through the OpenAI-compatible API with a pdr_sk_ key.

Chat

from pendra import Pendra

client = Pendra(api_key="pdr_sk_...")

response = client.chat.completions.create(
    model="qwen3-vl-instruct:2b",
    messages=[{"role": "user", "content": "Hello!"}],
)

print(response.choices[0].message.content)

Vision

from pendra import Pendra

client = Pendra(api_key="pdr_sk_...")

response = client.chat.completions.create(
    model="qwen3-vl-instruct:2b",
    messages=[
        {
            "role": "user",
            "content": [
                {"type": "text", "text": "What's in this image?"},
                {"type": "image_url", "image_url": {"url": "https://example.com/photo.jpg"}},
            ],
        }
    ],
)

print(response.choices[0].message.content)

Run Qwen3-VL Instruct on your own UK infrastructure

Deploy a worker, install Qwen3-VL Instruct, and start serving it through one sovereign API endpoint.