This is a submission for the Gemma 4 Challenge: Write About Gemma 4
The single most common mistake developers make when picking a local model is choosing based on benchmark scores. The second most common mistake is choosing based on what fits in VRAM.
Both of those things matter. But neither one is the actual first question.
The actual first question is: where does your model need to live, and what does it need to do there?
Gemma 4 ships in four variants - E2B, E4B, 26B A4B (MoE), and 31B - and Google made very deliberate architectural choices for each one. If you understand those choices, picking the right variant takes about five minutes. If you skip that step and benchmark-shop, you'll end up either underbuilding (a phone-ready E4B doing work that needs 256K context) or overbuilding (a 31B model sitting on $80/month of cloud compute when an E4B running locally would have been fine).






