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Qwen3.5-Flash is the production-hosted, closed-source API version of the Qwen3.5-35B-A3B model, served via Alibaba Cloud Model Studio. It delivers frontier-adjacent intelligence at roughly 1/13th the cost of Claude Sonnet 4.6, with a 1M token context window, native tool calling, built-in web search, and code interpreter support. Responses are 6x faster than Claude Sonnet 4.6 with competitive quality on agentic benchmarks.
/ 1M input tokens
/ 1M output tokens
Cache pricing
/ 1M tokens
Implicit cache
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/Qwen3.5-Flash",
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=8192,
temperature=0.6,
top_p=0.95,
stream=False,
extra_body={
"enable_thinking": 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/Qwen3.5-Flash",
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=8192,
temperature=0.6,
top_p=0.95,
stream=False,
extra_body={
"enable_thinking": 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/Qwen3.5-Flash",
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=8192,
temperature=0.6,
top_p=0.95,
stream=False,
extra_body={
"enable_thinking": 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/Qwen3.5-Flash",
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=8192,
temperature=0.6,
top_p=0.95,
stream=False,
extra_body={
"enable_thinking": 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