Qwen 3 VL
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 (opens in a new tab)
- API model name
- qwen3-vl:2b
- Context window
- 256K tokens
- Sizes
- 2B, 4B, 8B, 30B, 32B, 235B
- Licence
- Apache 2.0
Run Qwen 3 VL
Install it on a Pendra worker, then call it through our SDK with your pdr_sk_ API key.
from pendra import Pendra
client = Pendra(api_key="pdr_sk_...")
response = client.chat.completions.create(
model="qwen3-vl:2b",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)
from pendra import Pendra
client = Pendra(api_key="pdr_sk_...")
response = client.chat.completions.create(
model="qwen3-vl: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)
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Run Qwen 3 VL on infrastructure you trust.
Deploy a worker, install Qwen 3 VL, and start serving it through one private API.