Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Google

Gemma 3n E2B

Google

Gemma 3n E2B is a multimodal language model developed by Google. The model shows competitive results across 11 benchmarks. Notable strengths include PIQA (78.9%), BoolQ (76.4%), ARC-E (75.8%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.

Alibaba

QwQ-32B

Alibaba

QwQ-32B is a language model developed by Alibaba. It achieves strong performance with an average score of 74.6% across 7 benchmarks. It excels particularly in MATH-500 (90.6%), IFEval (83.9%), AIME 2024 (79.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Alibaba

QwQ-32B

Alibaba

2025-03-05

Google

Gemma 3n E2B

Google

2025-06-26

3 months newer

Performance comparison across key benchmark categories

Google

Gemma 3n E2B

general
54.1%
Alibaba

QwQ-32B

general
+16.3%
70.4%
Knowledge Cutoff
Training data recency comparison

Gemma 3n E2B

2024-06-01

QwQ-32B

2024-11-28

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemma 3n E2B

0 providers
Alibaba

QwQ-32B

0 providers
Google

Gemma 3n E2B

Avg Score:0.0%
Providers:0
Alibaba

QwQ-32B

Avg Score:0.0%
Providers:0