Comprehensive side-by-side LLM comparison
. Both models have their strengths depending on your specific coding needs.
Gemma 3N E2B was created as a specialized efficient variant, designed for deployment in edge and mobile environments with strict resource constraints. Built with optimizations for edge computing, it brings Gemma capabilities to devices and applications where traditional models would be impractical.
OpenAI
GPT-4.1 Nano was developed as the smallest and most efficient variant in the GPT-4.1 family, designed for applications requiring minimal latency and resource usage. Built to enable AI capabilities on edge devices and resource-constrained environments, it distills GPT-4.1 capabilities into an ultra-compact form factor.
2 months newer

GPT-4.1 nano
OpenAI
2025-04-14

Gemma 3n E2B
2025-06-26
Context window and performance specifications
GPT-4.1 nano
2024-05-31
Gemma 3n E2B
2024-06-01
Available providers and their performance metrics

Gemma 3n E2B

GPT-4.1 nano
OpenAI

Gemma 3n E2B

GPT-4.1 nano

Gemma 3n E2B

GPT-4.1 nano