Is It Pareto?

Why?

In an age where labs can scale up intelligence with test-time compute or distill it down into smaller models, absolute benchmarks lose their meaning. And now that midsize models are often sufficient and cheaper for many tasks, the smartest model isn't always the best choice. Instead, we track which models are pushing the frontier of intelligence forward.