Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Gemma 3n E4B Instructed
Gemma 3n E4B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (75.0%), MGSM (67.0%), MMLU (64.9%). The model is available through 1 API provider. 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.
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.
QwQ-32B
Alibaba
2025-03-05
Gemma 3n E4B Instructed
2025-06-26
3 months newer
Performance Metrics
Context window and performance specifications
Gemma 3n E4B Instructed
QwQ-32B
Average performance across 2 common benchmarks
Gemma 3n E4B Instructed
QwQ-32B
Performance comparison across key benchmark categories
Gemma 3n E4B Instructed
QwQ-32B
Gemma 3n E4B Instructed
2024-06-01
QwQ-32B
2024-11-28
Provider Availability & Performance
Available providers and their performance metrics
Gemma 3n E4B Instructed
Together
QwQ-32B
Gemma 3n E4B Instructed
QwQ-32B