The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the...
from openai import OpenAI
client = OpenAI(
base_url="https://infergate.ru/api/v1",
api_key="ig-•••",
)
resp = client.chat.completions.create(
model="qwen/qwen3.5-flash-02-23",
messages=[{"role": "user", "content": "Привет!"}],
)
print(resp.choices[0].message.content)modelstringобязательныйmessagesarrayобязательныйtemperaturenumbermax_tokensintegertop_pnumberpresence_penaltynumberseedintegerresponse_formatobjectstructured_outputsbooleantoolsarraytool_choicestring | objectreasoningobjectinclude_reasoningboolean