Qwen 3 30B A3B Crushes QWQ 32B: Same VRAM, 10× Speed

Qwen 3 30B A3B vs QWQ 32B represents a contrast between modern sparse MoE and traditional dense architecture. Qwen 3 delivers advanced reasoning and efficiency through dual-mode operation and low activation cost. QWQ 32B provides stability and compatibility for research and local deployment, with support for various precision levels.

Qwen 3 30B A3B VS QWQ 32B: Basic Introduction

Qwen 3 30B A3B

Qwen 3 30B A3B is distilled from Qwen 235B A22B, inheriting its strengths in a more efficient form.

Seamless dual-mode operation: Uniquely supports switching between thinking mode (for complex reasoning, math, and coding) and non-thinking mode (for efficient general dialogue) within a single model, ensuring optimal performance across diverse scenarios.

Advanced reasoning capabilities: Delivers significant improvements in logic, mathematics, and code generation—outperforming both QwQ (in thinking mode) and Qwen2.5 Instruct (in non-thinking mode).

Human-aligned conversational experience: Excels in creative writing, role-playing, multi-turn conversations, and instruction following, offering a more natural, engaging, and immersive user experience.

Agent integration expertise: Demonstrates strong tool-use abilities in both thinking and non-thinking modes, achieving leading performance among open-source models in complex agent-based tasks.

Robust multilingual support: Covers over 100 languages and dialects, with high proficiency in instruction following and translation across multilingual contexts.

QWQ 32B

Qwen 3 30B A3B VS QWQ 32B: Benchmark

Task	Qwen3-30B-A3B	QwQ-32B
ArenaHard	91	89.5
AIME’24	80.4	79.5
AIME’25	70.9	69.5
LiveCodeBench	62.6	62.7
CodeForces	1974	1982
GPQA	65.8	65.6
LiveBench	74.3	72
BFCL	69.1	66.4
MultiIF	72.2	68.3

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

Qwen 3 30B A3B VS QWQ 32B:Hardware Requirements

Qwen 3 30B A3B only activates 3B parameters during inference, meaning its computational cost is significantly lower than traditional dense models like QWQ 32B, which require all parameters to participate in every computation.

Qwen 3 30B A3B VS QWQ 32B: Applications

Qwen 3 30B A3B

Complex reasoning & generation
Ideal for math, code, logic tasks using its “thinking mode.”

Conversational agents
Excels in multi-turn dialogues, role-playing, and context-aware interactions.

Multilingual applications
Supports 100+ languages, perfect for global chatbots and translation systems.

Cloud/API deployment
Only 3B active parameters → low compute cost, high efficiency for SaaS/API usage.

Creative content creation
Well-aligned with human preferences in writing, storytelling, and instruction-following.

QWQ 32B

Dense inference scenarios
Activates all parameters—suitable for consistent outputs in logic-heavy tasks.

On-premise deployments
Works well in environments with stable access to A100/RTX 4090-level GPUs.

Offline experimentation
Multiple quantization modes (16/8/4-bit) allow flexibility for research and testing.

Static Q&A and utilities
Best used in fixed-function tasks like FAQs or short-answer customer support.

Qwen 3 30B A3B VS QWQ 32B: Tasks

Prompts: I wants an SVG of a children riding a bicycle. 

How to Access Qwen 3 30B A3B 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/qwq-32b"
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)
  
  

For cutting-edge AI applications involving reasoning, multilingual agents, and scalable API deployments, Qwen 3 30B A3B is the clear winner. For dense-model experimentation, static QA, and offline quantization testing, QWQ 32B remains a reliable choice.

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.