Enabling reasoning retention and compaction tripled GPT-5.6 scores on the ARC-AGI-3 benchmark. These specific API adjustments optimize how the model handles abstract reasoning tasks. The result proves that simple configuration changes can drastically outperform default settings. Practitioners should prioritize these parameters to maximize efficiency during complex logic evaluations.