Gemma 4 models feel very different depending on size (26B vs 31B)

I spent a few hours trying out the new Gemma 4 models, and one thing that stood out pretty quickly — the difference between sizes is more noticeable than I expected.

Didn’t run any formal benchmarks, just hands-on usage.

Tested:

  • Gemma-4-26B-A4B-it
  • Gemma-4-31B-it

Mostly used them for:

  • some coding (Python + small scripts)
  • general prompts
  • a bit of longer / slightly more complex instructions

🧠 31B (Gemma-4-31B-it)

This one feels a lot more stable once prompts get even a little complex.

  • Better at following multi-step instructions
  • Less likely to drift or “lose the thread”
  • Coding outputs were more consistent

For simple stuff, it doesn’t feel massively different. But as soon as you stack a few requirements together, the gap shows up pretty clearly.

Downside is just what you’d expect: slower and more expensive.

⚡ 26B (Gemma-4-26B-A4B-it)

This one actually surprised me.

  • Very fast and responsive
  • Totally fine for most day-to-day use
  • Feels good for quick testing / iteration

It does start to break down a bit on more layered prompts or when you need tighter reasoning, but nothing unexpected.

I ran both in a hosted notebook setup just to save time on local config.

Curious if others are seeing the same kind of gap, or if this depends a lot on the setup/use case.

submitted by /u/still_debugging_note
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