Qwen

QwQ-32B

Qwen/QwQ-32B

Prompt: 0.65 credits / 1M tokens

•

Completion: 0.65 credits / 1M tokens

Create Deployment Open Playground

Overview

QwQ-32B is a 32-billion parameter reasoning model noted for delivering performance comparable to much larger state-of-the-art models on complex reasoning and coding tasks. Developed through advanced reinforcement learning, it excels in mathematical reasoning and complex problem-solving. With a 128K context window and native tool use support, QwQ-32B is designed for handling extensive information and is highlighted for its speed and cost-efficiency on optimized hardware.

Tags

Chat

CServe Optimized

Dedicated

LLM

Serverless

API

Select a language: 
curl -X POST "https://api.centml.com/openai/v1/chat/completions" \
  -H "Authorization: Bearer *******************************************" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "Qwen/QwQ-32B",
    "messages": [{ "role": "system", "content": "You are a helpful assistant." }],
    "stream": false
  }'
from openai import OpenAI

client = OpenAI(
	api_key="*******************************************",
	base_url="https://api.centml.com/openai/v1"
)

completion = client.chat.completions.create(
    model="Qwen/QwQ-32B",
    messages=[{ "role": "system", "content": "You are a helpful assistant." }],
    stream=False,
)

print(completion.choices[0].message)
import OpenAI from "openai";

const client = new OpenAI(
	api_key="*******************************************",
	baseURL="https://api.centml.com/openai/v1"
)

async function main() {
  const completion = await client.chat.completions.create({
    model: "Qwen/QwQ-32B",
    messages: [{ "role": "system", "content": "You are a helpful assistant." }],
    stream: false,
  });

  console.log(completion.choices[0])
}

main()