OpenAI GPT-4.5 Codex reportedly suffering performance issues tied to token clustering

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A GitHub issue filed against OpenAI's Codex repository suggests that GPT-4.5's reasoning-token clustering behavior may be causing degraded model performance. The report, which gained traction on Hacker News, points to a potential flaw in how reasoning tokens are grouped during inference. The issue has drawn community attention, though it remains early-stage with limited comments and a low point score. OpenAI has not yet publicly responded to or confirmed the reported degradation. The matter highlights ongoing concerns about reliability and consistency in large language model deployments.

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