Aren't these basically the same?

Not at all. To quote Andrew Gelman,

The p-value is a strange nonlinear transformation of data that is only interpretable under the null hypothesis. Once you abandon the null (as we do when we observe something with a very low p-value), the p-value itself becomes irrelevant.

Also see more of Gelman on the same topic.