GPT-5.6 Sol Achieves SOTA on ARC-AGI-3 via Context Compaction
daniel_mac8 · x · 2026-07-30
Developers discovered that with two key setting adjustments, the GPT-5.6 Sol model achieved State-of-the-Art (SOTA) performance on the ARC-AGI-3 benchmark.
The breakthrough relied on allowing the model to reason and work across multiple context windows using a canonical compaction implementation. Tests showed that this autocompaction mechanism is extremely effective for complex, long-horizon tasks.
Related event: Optimized Memory Settings Triple GPT-5.6's Score on ARC-AGI-3(27 posts)→
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