Alibaba’s flagship multimodal family

Qwen 3.5

Name: Qwen 3.5
Author: Alibaba

by Alibaba

Chat Vision Tools Thinking

Qwen3.5 spans seven sizes from 0.8B to 122B with native vision, tool calling, a switchable thinking mode and a 256K-token context window — a strong open-weight default for almost any workload.

Publisher: Alibaba
API model name: qwen3.5:0.8b
Context window: 256K tokens
Sizes: 0.8B, 122B, 27B, 2B, 35B, 397B, 4B, 9B
Licence: Apache 2.0

Run Qwen 3.5

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="qwen3.5:0.8b",
    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: "qwen3.5:0.8b",
  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="qwen3.5:0.8b",
    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: "qwen3.5:0.8b",
  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 3.5 on your own UK infrastructure

Deploy a worker, install Qwen 3.5, and start serving it through one sovereign API endpoint.

Get started free Read the quickstart

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