GPT-5.6 Sol Achieves SOTA on ARC-AGI-3 with Context Compaction Tweaks
soumitrashukla9 · x · 2026-07-30
An OpenAI researcher shared recent test results regarding the GPT-5.6 Sol model. By enabling the model to reason and work across multiple context windows using their canonical compaction implementation, the model achieved State-of-the-Art (SOTA) performance on the ARC-AGI-3 benchmark.
Related event: Optimized Memory Settings Triple GPT-5.6's Score on ARC-AGI-3(27 posts)→
More from Models
- Reflection AI open-sources Beam: a 501B-A23B MoE trained on 10K GB300s, Apache 2.0 — AI4Code · 2026-10-16
- Opus 5.5 still leads a month later, but open-weight decision models are closing in — airesearch12 · 2026-10-16
- Google restricts Gemini Pro access for Google Plus subscribers, matching free tier — EmergencyLess8861 · 2026-10-16
- Meta releases Muse Spark Open, trained with vLLM-powered RL inference from day one — colinmcnamara · 2026-10-16
- Meta open-sources Muse Spark: runs on two Mac Studios, license bans passing output off as human-written — mawcopolow · 2026-10-16
- Golden Gate Claude explainer resurfaces: interpretability premise still holds — HarperSCarroll · 2026-10-16