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-4.5
OpenAI
GPT-4.5 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 64.1% across 26 benchmarks. It excels particularly in GSM8k (97.0%), MMLU (90.8%), CharXiv-D (90.0%). The model shows particular specialization in code tasks with an average performance of 88.1%. It supports a 132K 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. Released in 2025, it represents OpenAI's latest advancement in AI technology.
GPT-4.5
OpenAI
2025-02-27
Gemma 3n E2B Instructed
2025-06-26
3 months newer
Performance Metrics
Context window and performance specifications
Gemma 3n E2B Instructed
GPT-4.5
Average performance across 3 common benchmarks
Gemma 3n E2B Instructed
GPT-4.5
Performance comparison across key benchmark categories
Gemma 3n E2B Instructed
GPT-4.5
Gemma 3n E2B Instructed
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics
Gemma 3n E2B Instructed
GPT-4.5
OpenAI
Gemma 3n E2B Instructed
GPT-4.5