Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Gemma 3n E4B Instructed LiteRT Preview
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.
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 Instructed LiteRT Preview
2025-05-20
GLM-4.5
Zhipu AI
2025-07-28
2 months newer
Performance Metrics
Context window and performance specifications

Gemma 3n E4B Instructed LiteRT Preview
GLM-4.5
Average performance across 3 common benchmarks

Gemma 3n E4B Instructed LiteRT Preview
GLM-4.5
Performance comparison across key benchmark categories

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

Gemma 3n E4B Instructed LiteRT Preview
GLM-4.5
DeepInfra

Gemma 3n E4B Instructed LiteRT Preview
GLM-4.5