Comprehensive side-by-side LLM comparison
Phi-3.5-MoE-instruct leads with 17.4% higher average benchmark score. Gemma 3n E2B Instructed LiteRT (Preview) supports multimodal inputs. Overall, Phi-3.5-MoE-instruct is the stronger choice for coding tasks.
Gemma 3n E2B Instructed LiteRT (Preview) is a multimodal language model developed by Google. The model shows competitive results across 28 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. 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 E2B Instructed LiteRT (Preview)
2025-05-20
Average performance across 46 common benchmarks
Gemma 3n E2B Instructed LiteRT (Preview)
Phi-3.5-MoE-instruct
Gemma 3n E2B Instructed LiteRT (Preview)
2024-06-01
Available providers and their performance metrics
Gemma 3n E2B Instructed LiteRT (Preview)
Phi-3.5-MoE-instruct
Gemma 3n E2B Instructed LiteRT (Preview)
Phi-3.5-MoE-instruct