qwen-qwq-32b
Qwen QwQ 32B is a breakthrough 32-billion parameter reasoning model delivering performance comparable to state-of-the-art (SOTA) models 20x larger like DeepSeek-R1 (671B parameters) on complex reasoning and coding tasks. Deployed on Groq's hardware, it provides the world's fastest and cost-efficient reasoning, producing chains and results in seconds. Along with native tool use support, the 128K context window enables processing extensive information while maintaining comprehensive context.
Experience the world's fastest breakthrough reasoning capabilities with qwen-qwq-32b
on Groq:
pip install groq
from groq import Groq
client = Groq()
completion = client.chat.completions.create(
model="qwen-qwq-32b",
messages=[
{
"role": "user",
"content": "Explain why fast inference is critical for reasoning models"
}
]
)
print(completion.choices[0].message.content)