Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Gemma 3 4B
Gemma 3 4B is a multimodal language model developed by Google. The model shows competitive results across 26 benchmarks. It excels particularly in IFEval (90.2%), GSM8k (89.2%), DocVQA (75.8%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. 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-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 3 4B
2025-03-12
GLM-4.5-Air
Zhipu AI
2025-07-28
4 months newer
Performance Metrics
Context window and performance specifications
Gemma 3 4B
GLM-4.5-Air
Average performance across 3 common benchmarks
Gemma 3 4B
GLM-4.5-Air
Performance comparison across key benchmark categories
Gemma 3 4B
GLM-4.5-Air
Gemma 3 4B
2024-08-01
Provider Availability & Performance
Available providers and their performance metrics
Gemma 3 4B
DeepInfra
GLM-4.5-Air
Gemma 3 4B
GLM-4.5-Air