GPT-5.6 triples ARC-AGI-3 scores by tweaking just two API settings
openai reports that enabling two specific api settings tripled gpt-5.6's performance on the arc-agi-3 benchmark, revealing that simple configuration changes can drastically boost reasoning efficiency without model retraining.
openai discovered that two simple api tweaks—retaining the model's internal reasoning process and enabling a specific compaction setting—tripled gpt-5.6's performance on the arc-agi-3 benchmark. the intervention suggests that the model's underlying reasoning abilities are robust but frequently limited by standard output parameters. this finding impacts enterprise developers by offering a path to higher efficacy on complex tasks without the need for larger model architectures or specialized training runs. it signals a shift in focus from simply scaling parameters to optimizing inference configurations for better intelligence extraction.