This is a submission for the Gemma 4 Challenge: Write About Gemma 4
Disclaimer: This article is an independent opinion piece. The author has no affiliation with Google DeepMind or any entity associated with the Gemma project. All benchmark figures cited are sourced from publicly available documentation, the official Gemma 4 model card, peer-reviewed preprints, and community evaluations as of May 2026. Where benchmarks are self-reported by Google, this is noted explicitly. This analysis should not be treated as definitive technical guidance. Readers are encouraged to run their own evaluations against their specific use cases.
A 10-dimension comparative analysis of E2B, E4B, 26B MoE, and 31B Dense — with the hard opinion that architecture choice is being systematically confused with capability choice.
Table of Contents
Why This Analysis Exists
