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
Microsoft
Phi 4 is a language model developed by Microsoft. It achieves strong performance with an average score of 66.0% across 13 benchmarks. It excels particularly in MMLU (84.8%), HumanEval+ (82.8%), HumanEval (82.6%). The model shows particular specialization in math tasks with an average performance of 80.5%. The model is available through 1 API provider. 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 4
Microsoft
2024-12-12

Gemma 3n E2B
2025-06-26
6 months newer
Performance Metrics
Context window and performance specifications

Gemma 3n E2B

Phi 4
Average performance across 1 common benchmarks

Gemma 3n E2B

Phi 4
Performance comparison across key benchmark categories

Gemma 3n E2B

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

Gemma 3n E2B

Phi 4
DeepInfra

Gemma 3n E2B

Phi 4