Qwen 3 VL

Name: Qwen 3 VL
Author: Alibaba

by Alibaba

Chat Vision Tools Thinking

Qwen 3 VL is Alibaba's vision-language model, pairing Qwen 3's reasoning and tool use with detailed image understanding. It reads charts, documents, and photos alongside text and offers an explicit thinking mode, making it well suited to multimodal analysis and agentic tasks.

Publisher: Alibaba
Context window: 256K tokens
Sizes: 235B, 2B, 30B, 32B, 4B, 8B
Licence: Apache 2.0

Run Qwen 3 VL

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:235b",
    messages=[{"role": "user", "content": "Hello!"}],
)

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

import { Pendra } from "pendra";

const client = new Pendra({ apiKey: "pdr_sk_..." });

const response = await client.chat.completions.create({
  model: "qwen3-vl:235b",
  messages: [{ role: "user", content: "Hello!" }],
});

console.log(response.choices[0].message.content);

Vision

from pendra import Pendra

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

response = client.chat.completions.create(
    model="qwen3-vl:235b",
    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)

import { Pendra } from "pendra";

const client = new Pendra({ apiKey: "pdr_sk_..." });

const response = await client.chat.completions.create({
  model: "qwen3-vl:235b",
  messages: [
    {
      role: "user",
      content: [
        { type: "text", text: "What's in this image?" },
        { type: "image_url", image_url: { url: "https://example.com/photo.jpg" } },
      ],
    },
  ],
});

console.log(response.choices[0].message.content);

Run Qwen 3 VL on your own UK infrastructure

Deploy a worker, install Qwen 3 VL, and start serving it through one sovereign API endpoint.

Get started free Read the quickstart

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