I'd expect the same (fine tuning to be better than mere prompting) for most anything.

So a model is or is not "a reasoning model" according to the extent of a fine tune.

Are there specific benchmarks that compare models vs themselves with and without scratchpads? High with:without ratios being reasonier models?

Curious also how much a generalist model's one-shot responses degrade with reasoning post-training.