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Qwen3-VL-235B-A22B-Thinking is the most powerful vision-language model in the Qwen series. With 235B total parameters (22B active per token) and deep reasoning capabilities in thinking mode, it excels in multimodal STEM/math reasoning, visual agent tasks, GUI automation, spatial perception, long video comprehension, and multilingual OCR across 32 languages.
/ 1M input tokens
/ 1M output tokens
from openai import OpenAI
# Initialize the OpenAI client with Qubrid base URL
client = OpenAI(
base_url="https://qubrid.com/v1",
api_key="QUBRID_API_KEY",
)
response = client.chat.completions.create(
model="Qwen/Qwen3-VL-235B-A22B-Thinking",
messages=[
{
"role": "user",
"content": [
{
"type": "text",
"text": "What is in this image? Describe the main elements."
},
{
"type": "image_url",
"image_url": {
"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
}
}
]
}
],
max_tokens=4096,
temperature=0.7,
top_p=0.9,
stream=False
)
print(response.choices[0].message.content)from openai import OpenAI
# Initialize the OpenAI client with Qubrid base URL
client = OpenAI(
base_url="https://qubrid.com/v1",
api_key="QUBRID_API_KEY",
)
response = client.chat.completions.create(
model="Qwen/Qwen3-VL-235B-A22B-Thinking",
messages=[
{
"role": "user",
"content": [
{
"type": "text",
"text": "What is in this image? Describe the main elements."
},
{
"type": "image_url",
"image_url": {
"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
}
}
]
}
],
max_tokens=4096,
temperature=0.7,
top_p=0.9,
stream=False
)
print(response.choices[0].message.content)Example response
The image shows a clear visual scene with distinct subjects, background context, and balanced composition. Notable elements include primary objects, spatial layout, color and lighting, and any readable text or symbols that support a concise description.
from openai import OpenAI
# Initialize the OpenAI client with Qubrid base URL
client = OpenAI(
base_url="https://qubrid.com/v1",
api_key="QUBRID_API_KEY",
)
response = client.chat.completions.create(
model="Qwen/Qwen3-VL-235B-A22B-Thinking",
messages=[
{
"role": "user",
"content": [
{
"type": "text",
"text": "What is in this image? Describe the main elements."
},
{
"type": "image_url",
"image_url": {
"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
}
}
]
}
],
max_tokens=4096,
temperature=0.7,
top_p=0.9,
stream=False
)
print(response.choices[0].message.content)from openai import OpenAI
# Initialize the OpenAI client with Qubrid base URL
client = OpenAI(
base_url="https://qubrid.com/v1",
api_key="QUBRID_API_KEY",
)
response = client.chat.completions.create(
model="Qwen/Qwen3-VL-235B-A22B-Thinking",
messages=[
{
"role": "user",
"content": [
{
"type": "text",
"text": "What is in this image? Describe the main elements."
},
{
"type": "image_url",
"image_url": {
"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
}
}
]
}
],
max_tokens=4096,
temperature=0.7,
top_p=0.9,
stream=False
)
print(response.choices[0].message.content)Example response
The image shows a clear visual scene with distinct subjects, background context, and balanced composition. Notable elements include primary objects, spatial layout, color and lighting, and any readable text or symbols that support a concise description.
Multimodal messages with image_url • Streaming and tool calls supported Open in Playground for streaming, files, and all parameters.
Open in Playground