Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Gemma 3n E2B Instructed LiteRT (Preview)
Gemma 3n E2B Instructed LiteRT (Preview) is a multimodal language model developed by Google. The model shows competitive results across 28 benchmarks. Notable strengths include PIQA (78.9%), BoolQ (76.4%), ARC-E (75.8%). 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 E2B 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 E2B Instructed LiteRT (Preview)
GLM-4.5
Average performance across 3 common benchmarks
Gemma 3n E2B Instructed LiteRT (Preview)
GLM-4.5
Performance comparison across key benchmark categories
Gemma 3n E2B Instructed LiteRT (Preview)
GLM-4.5
Gemma 3n E2B Instructed LiteRT (Preview)
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics
Gemma 3n E2B Instructed LiteRT (Preview)
GLM-4.5
DeepInfra
Gemma 3n E2B Instructed LiteRT (Preview)
GLM-4.5