Qwen3.5 397B A17B

Qwen3.5 397B A17B

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Model IDqwen3.5-397b-a17b
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Qwen3.5-397B-A17B is Alibaba's flagship open-source model — the first in the Qwen3.5 series (released February 16, 2026) and the most capable open-weight model in the family. It is a native multimodal model trained from scratch on trillions of text, image, and video tokens using early fusion across 201 languages. With 397B total parameters and 17B active per token, it outperforms all Qwen3-VL models on vision tasks while matching or exceeding text-only frontiers. The hosted version is called Qwen3.5-Plus.

256K Tokens (up to 1M via Qwen3.5-Plus API) ContextFast InferenceCodingFunction CallingMultilingualVision Ready
Save 20%
$0.75$0.60/1M

input tokens

$4.50$3.60/1M

output tokens

Cached $0.75$0.60/1M 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/Qwen3.5-397B-A17B", 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=0.6, 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")

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