Model Comparison

Gemma 3n E4B vs QwQ-32BWhich is better in 2026?

Comparing Gemma 3n E4B and QwQ-32B across benchmarks, pricing, and capabilities.

Verdict: Gemma 3n E4B vs QwQ-32B — which is better?

Gemma 3n E4B (by Google) and QwQ-32B (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Choose Gemma 3n E4B if…

  • you want the most recent training data — it shipped Jun 2025

Choose QwQ-32B if…

  • you need open weights you can self-host or fine-tune
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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemma 3n E4B and QwQ-32B don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

24.5B diff

QwQ-32B has 24.5B more parameters than Gemma 3n E4B, making it 306.3% larger.

Google
Gemma 3n E4B
8.0Bparameters
Alibaba Cloud / Qwen Team
QwQ-32B
32.5Bparameters
8.0B
Gemma 3n E4B
32.5B
QwQ-32B

Input Capabilities

Supported data types and modalities

Gemma 3n E4B supports multimodal inputs, whereas QwQ-32B does not.

Gemma 3n E4B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 3n E4B

Text
Images
Audio
Video

QwQ-32B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E4B is licensed under a proprietary license, while QwQ-32B uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Gemma 3n E4B

Proprietary

Closed source

QwQ-32B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 3n E4B was released on 2025-06-26, while QwQ-32B was released on 2025-03-05.

Gemma 3n E4B is 4 months newer than QwQ-32B.

Gemma 3n E4B

Jun 26, 2025

11 months ago

3mo newer
QwQ-32B

Mar 5, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

Gemma 3n E4B has a knowledge cutoff of 2024-06-01, while QwQ-32B has a cutoff of 2024-11-28.

QwQ-32B has more recent training data (up to 2024-11-28), making it potentially better informed about events through that date compared to Gemma 3n E4B (2024-06-01).

Gemma 3n E4B

Jun 2024

QwQ-32B

Nov 2024

5 mo newer

Outputs Comparison

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Key Takeaways

Google
Supports multimodal inputs
Alibaba Cloud / Qwen Team

QwQ-32B

View details

Alibaba Cloud / Qwen Team

Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3n E4B
Alibaba Cloud / Qwen Team
QwQ-32B

FAQ

Common questions about Gemma 3n E4B vs QwQ-32B.

Which is better, Gemma 3n E4B or QwQ-32B?

Gemma 3n E4B (Google) and QwQ-32B (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemma 3n E4B compare to QwQ-32B in benchmarks?

Gemma 3n E4B scores ARC-E: 81.6%, BoolQ: 81.6%, PIQA: 81.0%, HellaSwag: 78.6%, Winogrande: 71.7%. QwQ-32B scores MATH-500: 90.6%, IFEval: 83.9%, AIME 2024: 79.5%, LiveBench: 73.1%, BFCL: 66.4%.

What are the main differences between Gemma 3n E4B and QwQ-32B?

Key differences include multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3n E4B and QwQ-32B?

Gemma 3n E4B is developed by Google and QwQ-32B is developed by Alibaba Cloud / Qwen Team.

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