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-4.5V
Zhipu AI
GLM-4.5V is a multimodal language model developed by Zhipu AI. It supports a 197K token context window for handling large documents. The model is available through 2 API providers. 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 Zhipu AI's latest advancement in AI technology.

Gemma 3n E4B
2025-06-26
GLM-4.5V
Zhipu AI
2025-08-11
1 month newer
Performance Metrics
Context window and performance specifications

Gemma 3n E4B
GLM-4.5V
Average performance across 11 common benchmarks

Gemma 3n E4B
GLM-4.5V
Gemma 3n E4B
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Gemma 3n E4B
GLM-4.5V
Novita
ZeroEval

Gemma 3n E4B
GLM-4.5V