Model Library/Qwen3.5 122B A10B
Qwen3.5 122B A10B

Qwen3.5 122B A10B

qwen/qwen3.5-122b-a10b
by Qwen
Input price
$0.4/ M tokens
Output price
$3.2/ M tokens
Context window
256Ktokens
Max output
64Ktokens

The Qwen3.5-122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. In terms of overall performance, this model is second only to Qwen3.5-397B-A17B. Its text capabilities significantly outperform those of Qwen3-235B-2507, and its visual capabilities surpass those of Qwen3-VL-235B.

Features

Serverless API

Docs

qwen/qwen3.5-122b-a10b is available via Novita's serverless API, where you pay per token. There are several ways to call the API, including OpenAI-compatible endpoints with exceptional reasoning performance.

Available Serverless

Run queries immediately, pay only for usage

Input$0.4 / M Tokens
Output$3.2 / M Tokens
  1. Get your API key

    Sign up and create a key to run the code below. The API is OpenAI-compatible.

  2. Make your first request

    The API is OpenAI-compatible: point any OpenAI SDK at the base URL and pass this model ID.

    Base URL
    https://api.novita.ai/openai
    Model ID
    qwen/qwen3.5-122b-a10b
    API Endpoint
    chat/completions
    1from openai import OpenAI
    2
    3client = OpenAI(
    4    api_key="<Your API Key>",
    5    base_url="https://api.novita.ai/openai"
    6)
    7
    8response = client.chat.completions.create(
    9    model="qwen/qwen3.5-122b-a10b",
    10    messages=[
    11        {"role": "system", "content": "You are a helpful assistant."},
    12        {"role": "user", "content": "Hello, how are you?"}
    13    ],
    14    max_tokens=65536,
    15    temperature=0.7
    16)
    17
    18print(response.choices[0].message.content)