Comprehensive side-by-side LLM comparison
Gemma 3n E4B Instructed LiteRT Preview leads with 8.7% higher average benchmark score. Gemma 3n E4B Instructed LiteRT Preview supports multimodal inputs. Overall, Gemma 3n E4B Instructed LiteRT Preview 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 4 Mini is a language model developed by Microsoft. It achieves strong performance with an average score of 65.4% across 17 benchmarks. It excels particularly in GSM8k (88.6%), ARC-C (83.7%), BoolQ (81.2%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
3 months newer
Phi 4 Mini
Microsoft
2025-02-01
Gemma 3n E4B Instructed LiteRT Preview
2025-05-20
Average performance across 34 common benchmarks
Gemma 3n E4B Instructed LiteRT Preview
Phi 4 Mini
Gemma 3n E4B Instructed LiteRT Preview
2024-06-01
Phi 4 Mini
2024-06-01
Available providers and their performance metrics
Gemma 3n E4B Instructed LiteRT Preview
Phi 4 Mini
Gemma 3n E4B Instructed LiteRT Preview
Phi 4 Mini