Qwen QwQ-32B

Qwen series reasoning model excelling in complex tasks, outperforming conventional instruction-tuned models on hard problems.

Try Qwen QwQ-32B

API Usage

Endpoint

Qwen/QwQ-32B

RUN INFERENCE

curl -X POST "https://aitradestore.com/api/v1/chat/completions"  
 -H "Authorization: Bearer $AITRADESTORE_API_KEY"  
 -H "Content-Type: application/json"  
 -d '{ 
   "model": "Qwen/QwQ-32B", 
   "messages": [{"role": "user", "content": "What are some fun things to do in New York?"}] 
 }'

JSON RESPONSE

RUN INFERENCE

from aitradestore import AiTradeStore  client = AiTradeStore()
 response = client.chat.completions.create( 
   model="Qwen/QwQ-32B", 
   messages=[{"role": "user", "content": "What are some fun things to do in New York?"}], ) print(response.choices[0].message.content)

JSON RESPONSE

RUN INFERENCE

import AiTradeStore from "ai-tradestore";  const aitradestore = new AiTradeStore();  const response = await aitradestore.chat.completions.create({ 
   messages: [{"role": "user", "content": "What are some fun things to do in New York?"}], 
   model: "Qwen/QwQ-32B", });
 console.log(response.choices[0].message.content)

JSON RESPONSE

Qwen QwQ-32B

Qwen series reasoning model excelling in complex tasks, outperforming conventional instruction-tuned models on hard problems.

Try Qwen QwQ-32B

API Usage

Endpoint

Qwen/QwQ-32B

RUN INFERENCE

curl -X POST "https://aitradestore.com/api/v1/chat/completions"  
 -H "Authorization: Bearer $AITRADESTORE_API_KEY"  
 -H "Content-Type: application/json"  
 -d '{ 
   "model": "Qwen/QwQ-32B", 
   "messages": [{"role": "user", "content": "What are some fun things to do in New York?"}] 
 }'

JSON RESPONSE

RUN INFERENCE

from aitradestore import AiTradeStore  client = AiTradeStore()
 response = client.chat.completions.create( 
   model="Qwen/QwQ-32B", 
   messages=[{"role": "user", "content": "What are some fun things to do in New York?"}], ) print(response.choices[0].message.content)

JSON RESPONSE

RUN INFERENCE

import AiTradeStore from "ai-tradestore";  const aitradestore = new AiTradeStore();  const response = await aitradestore.chat.completions.create({ 
   messages: [{"role": "user", "content": "What are some fun things to do in New York?"}], 
   model: "Qwen/QwQ-32B", });
 console.log(response.choices[0].message.content)

JSON RESPONSE

Qwen QwQ-32B

Qwen QwQ-32B

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Company

AI Models

Use Cases

Qwen QwQ-32B

API Usage

How to use Qwen QwQ-32B

Model details

Prompting Qwen QwQ-32B

Applications & Use Cases

Chat

Qwen QwQ-32B

API Usage

How to use Qwen QwQ-32B

Model details

Prompting Qwen QwQ-32B

Applications & Use Cases

Let's stay in touch.

Company

AI Models

Use Cases