Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Gemma 3n E2B Instructed
Gemma 3n E2B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (66.5%), MMLU (60.1%), Global-MMLU-Lite (59.0%). 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.
GPT-4 Turbo
OpenAI
GPT-4 Turbo is a language model developed by OpenAI. It achieves strong performance with an average score of 78.1% across 6 benchmarks. It excels particularly in MGSM (88.5%), HumanEval (87.1%), MMLU (86.5%). It supports a 132K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents OpenAI's latest advancement in AI technology.
GPT-4 Turbo
OpenAI
2024-04-09
Gemma 3n E2B Instructed
2025-06-26
1 year newer
Performance Metrics
Context window and performance specifications
Gemma 3n E2B Instructed
GPT-4 Turbo
Average performance across 4 common benchmarks
Gemma 3n E2B Instructed
GPT-4 Turbo
Performance comparison across key benchmark categories
Gemma 3n E2B Instructed
GPT-4 Turbo
GPT-4 Turbo
2023-12-31
Gemma 3n E2B Instructed
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics
Gemma 3n E2B Instructed
GPT-4 Turbo
Azure
OpenAI
Gemma 3n E2B Instructed
GPT-4 Turbo