Gemma 3n E2B Instructed LiteRT (Preview) vs Phi-3.5-mini-instruct - AI Comparison for Builders | airank.dev

Gemma 3n E2B Instructed LiteRT (Preview) vs Phi-3.5-mini-instruct

Comprehensive side-by-side LLM comparison

Phi-3.5-mini-instruct leads with 12.8% higher average benchmark score. Gemma 3n E2B Instructed LiteRT (Preview) supports multimodal inputs. Overall, Phi-3.5-mini-instruct is the stronger choice for coding tasks.

Google

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-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