The author reruns security vulnerability triage experiments across 26 combinations of Claude and GPT-5 models with varying reasoning effort and context sizes. A four-model “council” achieved 86.2% unanimous votes, and GPT-5.4 at medium/high effort led overall performance, though full-chain solutions remained rare. The study also found higher reasoning sometimes backfires and function-level inputs outperformed whole-file analysis.