[Schlagbohrer]

Have you used this method yourself for long workflows and with contexts approaching 1 million tokens? It doesn't work very well. LLM context is nearly half unusable.

[edg5000]

I always let GPT 5.5/5.6 sol reach compatction. I'm only offered a 258K window, but I think once they release 1M to normal plan users, it will be usable across the whole 1M. At least with Opus I could use the whole 1M. I'd argue that the more context I use, the better performance gets. It has more info already available. I don't notice degradation.

[noosphr]

I've found that model performance starts substantially degrading after 10%.

[Schlagbohrer]

I see with qwen3.6-35B running in Pi that it gets stuck in loops when the 262k context gets more than 30% full.