Its relevant because those same issues occur with large models. Also, the "crappy small model", was a model trained for safety tasks, and outperformed the frontier lab safety models.

And you tested this, that the presence of the last full stop flips the outcome with a large SOTA model?

Small models are notoriously unreliable and prone to hallucination in my experience, so that would not surprise me to be an issue there.