Qwen3.5 Plus

2026-02-15

Model IDQwen/Qwen3.5-397B-A17B

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$2.4

/ 1M output tokens

Cache pricing

/ 1M tokens

Cache creation

$0.63$0.50

Cache read

$0.050$0.040

Get API Key

Request (Non streaming)

Open in Playground

from openai import OpenAI

# Initialize the OpenAI client with Qubrid base URL
client = OpenAI(
    base_url="https://qubrid.com/v1",
    api_key="QUBRID_API_KEY",
)

response = 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=False,
    extra_body={
        "enable_thinking": False,
    }
)

print(response.choices[0].message.content)

Example response

The image shows a clear visual scene with distinct subjects, background context, and balanced composition. Notable elements include primary objects, spatial layout, color and lighting, and any readable text or symbols that support a concise description.

Request (Non streaming)

Open in Playground

from openai import OpenAI

# Initialize the OpenAI client with Qubrid base URL
client = OpenAI(
    base_url="https://qubrid.com/v1",
    api_key="QUBRID_API_KEY",
)

response = 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=False,
    extra_body={
        "enable_thinking": False,
    }
)

print(response.choices[0].message.content)

Example response

The image shows a clear visual scene with distinct subjects, background context, and balanced composition. Notable elements include primary objects, spatial layout, color and lighting, and any readable text or symbols that support a concise description.

Multimodal messages with image_url • Streaming and tool calls supported Open in Playground for streaming, files, and all parameters.

Open in Playground

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The image shows a clear visual scene with distinct subjects, background context, and balanced composition. Notable elements include primary objects, spatial layout, color and lighting, and any readable text or symbols that support a concise description.