GPT Performance Jumps 188% with 6x Fewer Tokens via Context Compaction
soumitrashukla9 · x · 2026-07-30
Recent developer tests reveal that configuring OpenAI's Responses API can significantly boost GPT model performance while slashing operational costs.
By enabling 'Retained Reasoning' and 'Context Compaction', the GPT-5.6 Sol model achieved a 188% score increase on public benchmarks, alongside a massive 6x reduction in output token usage.
Related event: Optimized Memory Settings Triple GPT-5.6's Score on ARC-AGI-3(27 posts)→
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