Qwen3.5 Plus

Qwen3.5 Plus

2026-02-15
Model IDqwen3.5-plus
Compare with other models

Qwen3.5-Plus is the production-hosted API version of Qwen3.5-397B-A17B — Alibaba's flagship multimodal MoE model with 397B total and 17B active parameters. Served via Alibaba Cloud Model Studio, it delivers frontier-class reasoning, coding, and vision at a fraction of GPT-5 and Claude Opus cost. Features a 1M token context window, native tool calling, built-in web search and code interpreter, and supports both Thinking and non-Thinking modes.

1M Tokens (API) / 262K Tokens (self-hosted base) ContextFast InferenceCodingFunction CallingMultilingualVision Ready

Input <= 256k

Save 20%
$0.50$0.40/1M

input tokens

$3.00$2.40/1M

output tokens

Cached $0.05$0.04/1M cached tokens

256k < Input <= 1m

Save 20%
$0.63$0.50/1M

input tokens

$3.75$3.00/1M

output tokens

Cached $0.06$0.05/1M 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=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

Docker Support

Official Docker images for containerized deployments

Kubernetes

Kubernetes Ready

Production-grade KBS manifests and Helm charts

SDK

SDK Libraries

Official SDKs for Python, Javascript, Go, and Java

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