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.

Phi 4 Mini Reasoning
Microsoft
Phi 4 Mini Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 68.0% across 3 benchmarks. It excels particularly in MATH-500 (94.6%), AIME (57.5%), GPQA (52.0%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.

Phi 4 Mini Reasoning
Microsoft
2025-04-30

Gemma 3n E2B Instructed
2025-06-26
1 month newer
Average performance across 1 common benchmarks

Gemma 3n E2B Instructed

Phi 4 Mini Reasoning
Performance comparison across key benchmark categories

Gemma 3n E2B Instructed

Phi 4 Mini Reasoning
Gemma 3n E2B Instructed
2024-06-01
Phi 4 Mini Reasoning
2025-02-01
Provider Availability & Performance
Available providers and their performance metrics

Gemma 3n E2B Instructed

Phi 4 Mini Reasoning

Gemma 3n E2B Instructed

Phi 4 Mini Reasoning