Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Google

Gemma 3n E4B

Google

Gemma 3n E4B is a multimodal language model developed by Google. It achieves strong performance with an average score of 64.6% across 11 benchmarks. It excels particularly in ARC-E (81.6%), BoolQ (81.6%), PIQA (81.0%). 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.

Microsoft

Phi 4 Reasoning Plus

Microsoft

Phi 4 Reasoning Plus is a language model developed by Microsoft. It achieves strong performance with an average score of 78.9% across 11 benchmarks. It excels particularly in FlenQA (97.9%), HumanEval+ (92.3%), IFEval (84.9%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.

Microsoft

Phi 4 Reasoning Plus

Microsoft

2025-04-30

Google

Gemma 3n E4B

Google

2025-06-26

1 month newer

Performance comparison across key benchmark categories

Google

Gemma 3n E4B

general
59.6%
Microsoft

Phi 4 Reasoning Plus

general
+19.7%
79.3%
Knowledge Cutoff
Training data recency comparison

Gemma 3n E4B

2024-06-01

Phi 4 Reasoning Plus

2025-03-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemma 3n E4B

0 providers
Microsoft

Phi 4 Reasoning Plus

0 providers
Google

Gemma 3n E4B

Avg Score:0.0%
Providers:0
Microsoft

Phi 4 Reasoning Plus

Avg Score:0.0%
Providers:0