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.
o3-mini
OpenAI
o3-mini is a language model developed by OpenAI. The model shows competitive results across 26 benchmarks. It excels particularly in COLLIE (98.7%), MATH (97.9%), IFEval (93.9%). It supports a 300K token context window for handling large documents. The model is available through 2 API providers. Released in 2025, it represents OpenAI's latest advancement in AI technology.
o3-mini
OpenAI
2025-01-30
Gemma 3n E2B
2025-06-26
4 months newer
Performance Metrics
Context window and performance specifications
Gemma 3n E2B
o3-mini
Performance comparison across key benchmark categories
Gemma 3n E2B
o3-mini
o3-mini
2023-09-30
Gemma 3n E2B
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics
Gemma 3n E2B
o3-mini
Azure
OpenAI
Gemma 3n E2B
o3-mini