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.
Phi-3.5-MoE-instruct
Microsoft
Phi-3.5-MoE-instruct is a language model developed by Microsoft. It achieves strong performance with an average score of 65.6% across 31 benchmarks. It excels particularly in ARC-C (91.0%), OpenBookQA (89.6%), GSM8k (88.7%). The model shows particular specialization in reasoning tasks with an average performance of 85.4%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
Gemma 3n E2B
2025-06-26
10 months newer
Average performance across 7 common benchmarks
Gemma 3n E2B
Phi-3.5-MoE-instruct
Performance comparison across key benchmark categories
Gemma 3n E2B
Phi-3.5-MoE-instruct
Gemma 3n E2B
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics
Gemma 3n E2B
Phi-3.5-MoE-instruct
Gemma 3n E2B
Phi-3.5-MoE-instruct