Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Gemma 3n E2B Instructed
Gemma 3n E2B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (66.5%), MMLU (60.1%), Global-MMLU-Lite (59.0%). 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.
GLM-4.5-Air
Zhipu AI
GLM-4.5-Air is a language model developed by Zhipu AI. It achieves strong performance with an average score of 60.8% across 14 benchmarks. It excels particularly in MATH-500 (98.1%), AIME 2024 (89.4%), MMLU-Pro (81.4%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Zhipu AI's latest advancement in AI technology.
Gemma 3n E2B Instructed
2025-06-26
GLM-4.5-Air
Zhipu AI
2025-07-28
1 month newer
Average performance across 3 common benchmarks
Gemma 3n E2B Instructed
GLM-4.5-Air
Performance comparison across key benchmark categories
Gemma 3n E2B Instructed
GLM-4.5-Air
Gemma 3n E2B Instructed
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics
Gemma 3n E2B Instructed
GLM-4.5-Air
Gemma 3n E2B Instructed
GLM-4.5-Air