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Hacker News·4 min read·hard

GPT-5.5 Codex reasoning-token clustering may be leading to degraded performance

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GPT-5.5 Codex reasoning-token clustering may be leading to degraded performance
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A GitHub issue report suggests that OpenAI's GPT-5.5 model exhibits anomalous token clustering at specific reasoning-token counts, such as 516, 1034, and 1552. The data indicates these fixed-boundary spikes correlate with decreased reasoning intensity and potentially degraded performance on complex coding tasks.

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GPT-5.5 Codex reasoning-token clustering may be leading to degraded performance — Headlinne — headlinne