+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Gemma 3n E4B Instructed LiteRT Preview vs Phi-3.5-MoE-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-MoE-instruct leads with 13.6% higher average benchmark score. Gemma 3n E4B Instructed LiteRT Preview supports multimodal inputs. Overall, Phi-3.5-MoE-instruct is the stronger choice for coding tasks.
+
+
+
+
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 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%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
9 months newer
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
Gemma 3n E4B Instructed LiteRT Preview
2025-05-20
Average performance across 46 common benchmarks
+
+
+
+
Gemma 3n E4B Instructed LiteRT Preview
Average Score:30.6%
+
+
+
+
Phi-3.5-MoE-instruct
Average Score:44.2%(+13.6%)
+
+
+
+
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
+
+
+
+
Gemma 3n E4B Instructed LiteRT Preview
0 providers
+
+
+
+
Phi-3.5-MoE-instruct
0 providers
+
+
+
+
Gemma 3n E4B Instructed LiteRT Preview
Avg Score:30.6%
Providers:0
+
+
+
+
Phi-3.5-MoE-instruct
Avg Score:44.2%(+13.6%)
Providers:0