Comprehensive side-by-side LLM comparison
Gemma 3n E4B Instructed LiteRT Preview leads with 37.8% higher average benchmark score. 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
QvQ-72B-Preview is a multimodal language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 4 benchmarks. Notable strengths include MathVista (71.4%), MMMU (70.3%), MathVision (35.9%). 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 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
4 months newer
QvQ-72B-Preview
Alibaba Cloud / Qwen Team
2024-12-25
Gemma 3n E4B Instructed LiteRT Preview
2025-05-20
Average performance across 32 common benchmarks
Gemma 3n E4B Instructed LiteRT Preview
QvQ-72B-Preview
Gemma 3n E4B Instructed LiteRT Preview
2024-06-01
Available providers and their performance metrics
Gemma 3n E4B Instructed LiteRT Preview
QvQ-72B-Preview
Gemma 3n E4B Instructed LiteRT Preview
QvQ-72B-Preview