With AI models constantly evolving, how do we actually distinguish one model from another?
Is “newer = better” always valid when outputs are probabilistic and non-deterministic?
Should we consider correctness, consistency, reasoning, context, speed, cost, and effort together?
And how much does increasing effort affect the model’s actual performance?