Qwen3.5 35B A3B
latestQwen3.5-35B-A3B is the breakout model of the Qwen3.5 Medium Series and arguably the biggest efficiency breakthrough in recent open-source AI. Despite having only 3B active parameters per token (8.6% of total), it outperforms the previous generation's 235B model on most benchmarks, as well as GPT-5 mini and Claude Sonnet 4.5 on knowledge (MMMLU) and visual reasoning (MMMU-Pro). It runs on an 8GB GPU and supports 256K context natively.
input tokens
output tokens
Cached $0.31$0.25/1M 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/Qwen3.5-35B-A3B", 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=True, extra_body={ "enable_thinking": False, } ) 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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