Comprehensive side-by-side LLM comparison
Gemma 3n E4B Instructed LiteRT Preview leads with 26.9% higher average benchmark score. Gemma 3n E4B Instructed LiteRT Preview supports multimodal inputs. Overall, Gemma 3n E4B Instructed LiteRT Preview is the stronger choice for coding tasks.
Gemma 3n E4B Instructed LiteRT Preview is a multimodal language model developed by Google. The model shows competitive results across 28 benchmarks. It excels particularly in ARC-E (81.6%), BoolQ (81.6%), PIQA (81.0%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.
Alibaba Cloud / Qwen Team
QwQ-32B is a language model developed by Alibaba Cloud / Qwen Team. 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 Cloud / Qwen Team's latest advancement in AI technology.
2 months newer
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
Gemma 3n E4B Instructed LiteRT Preview
2025-05-20
Average performance across 33 common benchmarks
Gemma 3n E4B Instructed LiteRT Preview
QwQ-32B
Gemma 3n E4B Instructed LiteRT Preview
2024-06-01
QwQ-32B
2024-11-28
Available providers and their performance metrics
Gemma 3n E4B Instructed LiteRT Preview
QwQ-32B
Gemma 3n E4B Instructed LiteRT Preview
QwQ-32B