QwQ-32B is the medium-sized reasoning model in the Qwen series, designed for advanced thinking and reasoning tasks. It achieves competitive performance against state-of-the-art models like DeepSeek-R1 and o1-mini, and is particularly strong on hard problems requiring deep analytical skills.
Pricing
Pay-as-you-go rates for this model. More details can be found here.
Input Tokens (1M)
$0.14
Output Tokens (1M)
$0.20
Capabilities
Input Modalities
Text
Output Modalities
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Supported Parameters
Available parameters for API requests
Frequency Penalty
Logit Bias
Logprobs
Max Completion Tokens
Presence Penalty
Response Format
Stop
Temperature
Tool Choice
Tools
Top P
Usage Analytics
Token usage of this model on our platform
Throughput
Not enough throughput data
Time-To-First-Token (TTFT)
Not enough TTFT data
Code Example
Example code for using this model through our API with Python (OpenAI SDK) or cURL. Replace placeholders with your API key and model ID.
Basic request example. Ensure API key permissions. For more details, see our documentation.
from openai import OpenAI
client = OpenAI(
base_url="https://api.naga.ac/v1",
api_key="YOUR_API_KEY",
)
resp = client.chat.completions.create(
model="qwq-32b",
messages=[
{{"role": "user", "content": "What's 2+2?"}}
],
temperature=0.2,
)
print(resp.choices[0].message.content)