Qwen 3 32B vs QWQ 32B: Dev-Ready Comparison

Qwen 3 32B VS QWQ 32B is not just a comparison of size — it’s a comparison of flexibility, control, and deployment strategy. While both offer “thinking mode” for complex reasoning, Qwen 3 32B stands out with its customizable reasoning depth and broader application reach.

Qwen 3 32B VS QWQ 32B: Basic Introduction

Qwen 3 32B

QWQ 32B

Qwen 3 32B VS QWQ 32B: Thinking Mode

Both Qwen 3 32B and QWQ 32B offer a “thinking mode” for complex reasoning. But here’s the key difference: Qwen 3 32B lets you control the thinking length — from 0 to 38,913 tokens. This means you can customize how much reasoning the model performs.

• Got a hard question? Let it think longer.
• Simple prompt? Keep it short and fast.

As shown in the chart, performance improves smoothly as the thinking budget increases. This makes Qwen 3 more flexible and efficient across different tasks.

Qwen 3 32B VS QWQ 32B: Benchmark

If you want to test it yourself, you can start a free trial on the Novita AI website.

Qwen 3 32B VS QWQ 32B:Hardware Requirements

Both models require high-end GPUs for local deployment, especially Qwen 3 32B with its larger memory footprint.
For most developers, the easiest and most cost-effective option is to access these models via API, without the need to invest in expensive hardware.

Qwen 3 32B VS QWQ 32B: Applications

Qwen 3 32B

Tasks requiring complex reasoning and long-form generation

Controllable thinking length — up to 38,913 tokens

Multilingual applications (supports 119 languages)

Agent-style interactions, creative writing, coding with tools

Cloud deployment preferred (requires ~96GB, 4× RTX 4090)

QWQ 32B

Fact-heavy QA and knowledge-intensive tasks

Solid performance on IFEval, MMLU, and LiveCodeBench

Easier local deployment (runs on 1× A100 80GB)

Suitable for enterprise knowledge systems and internal tools

Qwen 3 32B VS QWQ 32B: Tasks

Prompts:Write a program that can solve a Sudoku puzzle.

Qwen 3 32B

QWQ 32B

Qwen 3 32B VS QWQ 32B

How to Access Qwen 3 32B and QWQ 32B via Novita API?

Step 1: Log In and Access the Model Library

Log in to your account and click on the Model Library button.

Step 2: Choose Your Model

Browse through the available options and select the model that suits your needs.

Step 3: Start Your Free Trial

Begin your free trial to explore the capabilities of the selected model.

Step 4: Get Your API Key

To authenticate with the API, we will provide you with a new API key. Entering the “Settings“ page, you can copy the API key as indicated in the image.

Step 5: Install the API

Install API using the package manager specific to your programming language.

After installation, import the necessary libraries into your development environment. Initialize the API with your API key to start interacting with Novita AI LLM. This is an example of using chat completions API for python users.

from openai import OpenAI
  
client = OpenAI(
    base_url="https://api.novita.ai/v3/openai",
    api_key="<YOUR Novita AI API Key>",
)

model = "qwen/qwen3-32b-fp8"
stream = True # or False
max_tokens = 2048
system_content = """Be a helpful assistant"""
temperature = 1
top_p = 1
min_p = 0
top_k = 50
presence_penalty = 0
frequency_penalty = 0
repetition_penalty = 1
response_format = { "type": "text" }

chat_completion_res = client.chat.completions.create(
    model=model,
    messages=[
        {
            "role": "system",
            "content": system_content,
        },
        {
            "role": "user",
            "content": "Hi there!",
        }
    ],
    stream=stream,
    max_tokens=max_tokens,
    temperature=temperature,
    top_p=top_p,
    presence_penalty=presence_penalty,
    frequency_penalty=frequency_penalty,
    response_format=response_format,
    extra_body={
      "top_k": top_k,
      "repetition_penalty": repetition_penalty,
      "min_p": min_p
    }
  )

if stream:
    for chunk in chat_completion_res:
        print(chunk.choices[0].delta.content or "", end="")
else:
    print(chat_completion_res.choices[0].message.content)
  
 
  

Qwen 3 32B is ideal for dynamic, high-context AI applications with its adjustable thinking budget and multilingual support.
QWQ 32B performs well in static QA and logic tasks, and is more deployment-friendly for hardware-limited setups.

Frequently Asked Questions

Novita AI is an AI cloud platform that offers developers an easy way to deploy AI models using our simple API, while also providing the affordable and reliable GPU cloud for building and scaling.

Recommended Reading

• DeepSeek R1 vs QwQ-32B: RL-Powered Precision vs Efficiency
• QwQ 32B: A Compact AI Rival to DeepSeek R1
• Llama 3.2 3B vs DeepSeek V3: Comparing Efficiency and Performance.