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 4 Reasoning
Microsoft
Phi 4 Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 75.1% across 11 benchmarks. It excels particularly in FlenQA (97.7%), HumanEval+ (92.9%), IFEval (83.4%). The model shows particular specialization in code tasks with an average performance of 76.7%. 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 Reasoning
Microsoft
2025-04-30

Gemma 3n E2B
2025-06-26
1 month newer
Performance comparison across key benchmark categories

Gemma 3n E2B

Phi 4 Reasoning
Gemma 3n E2B
2024-06-01
Phi 4 Reasoning
2025-03-01
Provider Availability & Performance
Available providers and their performance metrics

Gemma 3n E2B

Phi 4 Reasoning

Gemma 3n E2B

Phi 4 Reasoning