Qwen3.5 122B A10B
latestQwen3.5-122B-A10B is the most powerful open-source model in the Qwen3.5 Medium Series. With 122B total parameters and 10B active per token across a 48-layer hybrid architecture, it delivers the strongest knowledge, vision, and function-calling performance in the medium class — scoring 86.6% on GPQA Diamond (beating GPT-5 mini's 82.8%), 72.2% on BFCL-V4 tool calling (vs GPT-5 mini's 55.5%), 92.1% on OCRBench, and 83.9% on MMMU. Supports text, image, and video input natively via early fusion.
input tokens
output tokens
Cached $0.50$0.40/1M 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/Qwen3.5-122B-A10B", 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=1, top_p=0.95, stream=True, presence_penalty=1.5, extra_body={ "enable_thinking": True, } ) 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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