Model Comparison

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

Gemma 3n E2B Instructed

Google

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-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 Instructed

Google

2025-06-26

10 months newer

Average performance across 6 common benchmarks

Gemma 3n E2B Instructed

Average Score:50.3%

Phi-3.5-MoE-instruct

+11.6%

Average Score:61.9%

Performance comparison across key benchmark categories

Gemma 3n E2B Instructed

code

33.2%

math

40.4%

general

32.8%

Phi-3.5-MoE-instruct

code

+42.6%

75.8%

math

+28.6%

69.0%

general

+28.2%

60.9%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

Gemma 3n E2B Instructed

2024-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Gemma 3n E2B Instructed

0 providers

Phi-3.5-MoE-instruct

0 providers

Gemma 3n E2B Instructed

Avg Score:50.3%

Providers:0

Phi-3.5-MoE-instruct

+11.6%

Avg Score:61.9%

Providers:0