Comprehensive side-by-side LLM comparison
Gemma 3n E2B Instructed LiteRT (Preview) leads with 34.2% higher average benchmark score. Gemma 3n E2B Instructed LiteRT (Preview) supports multimodal inputs. Overall, Gemma 3n E2B Instructed LiteRT (Preview) 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 4 Mini Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 68.0% across 3 benchmarks. It excels particularly in MATH-500 (94.6%), AIME (57.5%), GPQA (52.0%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
20 days newer
Phi 4 Mini Reasoning
Microsoft
2025-04-30
Gemma 3n E2B Instructed LiteRT (Preview)
2025-05-20
Average performance across 30 common benchmarks
Gemma 3n E2B Instructed LiteRT (Preview)
Phi 4 Mini Reasoning
Gemma 3n E2B Instructed LiteRT (Preview)
2024-06-01
Phi 4 Mini Reasoning
2025-02-01
Available providers and their performance metrics
Gemma 3n E2B Instructed LiteRT (Preview)
Phi 4 Mini Reasoning
Gemma 3n E2B Instructed LiteRT (Preview)
Phi 4 Mini Reasoning