ended5월 9일· 1 sources

GPT-5.5 low vs medium vs high vs xhigh: 오픈소스 저장소의 실제 작업 26개에서 본 추론 곡선

Why it matters

This experiment demonstrates that as reasoning effort increases, the real value lies in achieving semantic alignment with human intent and maintainability rather than just binary test success. It highlights a critical shift for engineering teams to move beyond generic leaderboards and establish custom internal benchmarks that measure code reviewability and 'footprint risk' in real-world scenarios.

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GPT-5.5CodexReasoning effortSemantic equivalenceGraphQL-go-toolsBenchmark

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