Model Comparison

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

Google

Gemma 3n E4B Instructed LiteRT Preview

Google

Gemma 3n E4B Instructed LiteRT Preview is a multimodal language model developed by Google. The model shows competitive results across 28 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. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.

Microsoft

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.

Microsoft

Phi-3.5-MoE-instruct

Microsoft

2024-08-23

Google

Gemma 3n E4B Instructed LiteRT Preview

Google

2025-05-20

9 months newer

Average performance across 13 common benchmarks

Google

Gemma 3n E4B Instructed LiteRT Preview

Average Score:62.8%
Microsoft

Phi-3.5-MoE-instruct

+10.9%
Average Score:73.7%

Performance comparison across key benchmark categories

Google

Gemma 3n E4B Instructed LiteRT Preview

reasoning
73.4%
code
38.9%
math
49.2%
general
48.4%
Microsoft

Phi-3.5-MoE-instruct

reasoning
+12.0%
85.4%
code
+36.9%
75.8%
math
+19.8%
69.0%
general
+12.6%
60.9%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemma 3n E4B Instructed LiteRT Preview

2024-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemma 3n E4B Instructed LiteRT Preview

0 providers
Microsoft

Phi-3.5-MoE-instruct

0 providers
Google

Gemma 3n E4B Instructed LiteRT Preview

Avg Score:62.8%
Providers:0
Microsoft

Phi-3.5-MoE-instruct

+10.9%
Avg Score:73.7%
Providers:0