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QwQ 32B
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QwQ 32B

QwQ-32B
Qwen
The model provider is the Sophnet platform. QwQ is an inference model from the Qianwen series, featuring outstanding thinking and reasoning capabilities. Compared to traditional instruction-finetuned models, QwQ can achieve significantly enhanced performance on downstream tasks, especially on difficult problems. QwQ-32B is a medium-sized inference model capable of delivering competitive performance compared to state-of-the-art inference models such as DeepSeek-R1 and o1-mini. It supports long context lengths of up to 128K tokens and can generate text up to 128K tokens.

Pricing

  • Input Tokens: $0.28 /M tokens
  • Output Tokens: $0.84 /M tokens

Input Modalities

    Try this model

    Python
    import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["AIHUBMIX_API_KEY"],
    base_url="https://shkq.org/v1",
)

response = client.chat.completions.create(
    model="QwQ-32B",
    messages=[
      {
        "role": "user",
        "content": "Hello, how are you?"
      }
    ],
    max_tokens=1024,
    stream=False,
)

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

    Frequently asked questions

    What is QwQ 32B?

    The model provider is the Sophnet platform. QwQ is an inference model from the Qianwen series, featuring outstanding thinking and reasoning capabilities. Compared to traditional instruction-finetuned models, QwQ can achieve significantly enhanced performance on downstream tasks, especially on difficult problems. QwQ-32B is a medium-sized inference model capable of delivering competitive performance compared to state-of-the-art inference models such as DeepSeek-R1 and o1-mini. It supports long context lengths of up to 128K tokens and can generate text up to 128K tokens.

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