Qwen3.5 122B A10B

latest

Model IDQwen/Qwen3.5-122B-A10B

Qwen3.5-122B-A10B is the most powerful open-source model in the Qwen3.5 Medium Series. With 122B total parameters and 10B active per token across a 48-layer hybrid architecture, it delivers the strongest knowledge, vision, and function-calling performance in the medium class — scoring 86.6% on GPQA Diamond (beating GPT-5 mini's 82.8%), 72.2% on BFCL-V4 tool calling (vs GPT-5 mini's 55.5%), 92.1% on OCRBench, and 83.9% on MMMU. Supports text, image, and video input natively via early fusion.

256K Tokens (up to 1M) ContextFast InferenceCodingFunction CallingMultilingualVision Ready

Save 20%

$0.50$0.40

/ 1M input tokens

$4$3.2

/ 1M output tokens

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/Qwen3.5-122B-A10B",
    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=1,
    top_p=0.95,
    stream=False,
    presence_penalty=1.5,
    extra_body={
        "enable_thinking": True,
    }
)

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/Qwen3.5-122B-A10B",
    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=1,
    top_p=0.95,
    stream=False,
    presence_penalty=1.5,
    extra_body={
        "enable_thinking": True,
    }
)

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.