Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Gemma 3n E2B
Gemma 3n E2B is a multimodal language model developed by Google. The model shows competitive results across 11 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. Released in 2025, it represents Google's latest advancement in AI technology.
GPT-4o
OpenAI
GPT-4o is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 77.4% across 8 benchmarks. It excels particularly in MGSM (90.5%), HumanEval (90.2%), MMLU (88.7%). It supports a 132K 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. Released in 2024, it represents OpenAI's latest advancement in AI technology.
GPT-4o
OpenAI
2024-05-13
Gemma 3n E2B
2025-06-26
1 year newer
Performance Metrics
Context window and performance specifications
Gemma 3n E2B
GPT-4o
Average performance across 1 common benchmarks
Gemma 3n E2B
GPT-4o
Performance comparison across key benchmark categories
Gemma 3n E2B
GPT-4o
Gemma 3n E2B
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics
Gemma 3n E2B
GPT-4o
Azure
OpenAI
Gemma 3n E2B
GPT-4o