Test: Enabling Two API Settings Boosts GPT-5.6 ARC-AGI-3 Score by 3x
sandersted · x · 2026-07-30
Developer @sandersted shared a surprising finding regarding model benchmarking. He noted that GPT-5.6 initially performed terribly on the ARC-AGI-3 benchmark.
However, simply turning on two specific API settings used internally by ChatGPT and Codex caused its score on the public set to jump 3x, while token efficiency also improved by 6x.
This reinforces the industry consensus: performance is always a function of "model + product harness." Evaluating bare model capabilities without considering engineering wrappers is practically meaningless.
Related event: Optimized Memory Settings Triple GPT-5.6's Score on ARC-AGI-3(27 posts)→
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