Qwen3.5 Plus API
Released February 2026 | 1M Tokens (API) / 262K Tokens (self-hosted base) context | 397B params (17B active) — hosted parameters
Qwen3.5 Plus API enables Frontier-quality agentic workflows, Complex multi-step reasoning and planning, Long-document analysis (up to 1M tokens), Advanced code generation and debugging, Multimodal understanding (images, PDFs, docs), and Tool-calling and structured output pipelines. 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. Standout strengths include 1M token context window out of the box and 397B total params (17B active) — flagship intelligence tier. It is well suited for multimodal assistants that combine image understanding with grounded text reasoning in real-time workflows.
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-Plus", 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 ) for chunk in stream: if chunk.choices and chunk.choices[0].delta.content: print(chunk.choices[0].delta.content, end="", flush=True) print("\n")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-Plus", 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 ) 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
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Official SDKs for Python, Javascript, Go, and Java
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