TOPIC 03 OF 06
Benchmarks vs. your task
Why the leaderboard isn't your answerPublic benchmarks and leaderboards measure general ability across standard tests. They're useful as a rough first filter, but a top-ranked model can still be wrong for your specific data, tone, and edge cases — and benchmark scores can be gamed or leak into training data. The model that wins the leaderboard is not automatically the right one for you; your own test set is.
A model tops every reasoning benchmark, so you pick it for classifying support tickets. On your product's jargon it underperforms a smaller, cheaper model — which your own eval would have shown, and the leaderboard never could.
Treat a high benchmark score as evidence of general capability, not proof of fitness for your task. The two get confused constantly, and the gap between them is where disappointed rollouts live.
Next time you compare models, shortlist by benchmark if you like — but decide on your own test set, not the leaderboard.