Qwen3 VL Flash
latestFaster, lighter vision model for real-time use cases.
Input <= 32k
Save 20%input tokens
output tokens
Cached $0.0062$0.0050/1M cached tokens
32k < Input <= 128k
Save 20%input tokens
output tokens
Cached $0.0094$0.0075/1M cached tokens
128k < Input <= 256k
Save 20%input tokens
output tokens
Cached $0.02$0.01/1M cached tokens
from openai import OpenAI # Initialize the OpenAI client with Qubrid base URL client = OpenAI( base_url="https://platform.qubrid.com/v1", api_key="QUBRID_API_KEY", ) stream = client.chat.completions.create( model="Qwen/Qwen3-VL-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=16384, temperature=0.1, top_p=1, stream=True, extra_body={ "reasoning_effort": "medium", } ) for chunk in stream: if chunk.choices and chunk.choices[0].delta.content: print(chunk.choices[0].delta.content, end="", flush=True) print("\n") Enterprise
Platform Integration
Docker Support
Official Docker images for containerized deployments
Kubernetes Ready
Production-grade KBS manifests and Helm charts
SDK Libraries
Official SDKs for Python, Javascript, Go, and Java
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