Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Gemma 3n E4B
Gemma 3n E4B is a multimodal language model developed by Google. It achieves strong performance with an average score of 64.6% across 11 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. Released in 2025, it represents Google's latest advancement in AI technology.
GLM-4.5
Zhipu AI
GLM-4.5 is a language model developed by Zhipu AI. It achieves strong performance with an average score of 64.0% across 14 benchmarks. It excels particularly in MATH-500 (98.2%), AIME 2024 (91.0%), MMLU-Pro (84.6%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. 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 E4B
2025-06-26
GLM-4.5
Zhipu AI
2025-07-28
1 month newer
Performance Metrics
Context window and performance specifications
Gemma 3n E4B
GLM-4.5
Performance comparison across key benchmark categories
Gemma 3n E4B
GLM-4.5
Gemma 3n E4B
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics
Gemma 3n E4B
GLM-4.5
DeepInfra
Gemma 3n E4B
GLM-4.5