Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 9.0% higher average benchmark score. Gemma 3n E4B Instructed LiteRT Preview supports multimodal inputs. Overall, Phi-3.5-mini-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-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. 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-mini-instruct
Microsoft
2024-08-23
Gemma 3n E4B Instructed LiteRT Preview
2025-05-20
Context window and performance specifications
Average performance across 46 common benchmarks
Gemma 3n E4B Instructed LiteRT Preview
Phi-3.5-mini-instruct
Gemma 3n E4B Instructed LiteRT Preview
2024-06-01
Available providers and their performance metrics
Gemma 3n E4B Instructed LiteRT Preview
Phi-3.5-mini-instruct
Azure
Gemma 3n E4B Instructed LiteRT Preview
Phi-3.5-mini-instruct
Gemma 3n E4B Instructed LiteRT Preview
Phi-3.5-mini-instruct