Comment by HarHarVeryFunny

Not everybody is using the same model and harness as you, nor using the model the same way as you.

Different models, and versions of models, use different types of attention, which affects their long-context performance, and no doubt also do different amounts/types of long context training.

Different agents build context differently and implement context compaction differently.

Unless someone else is using the same model as you, the same agent/harness as you, and doing very similar tasks, then there is no reason to suppose that their experience of model behavior relating to context size is going to be the same as yours.