OpenAI's GPT‑5.5 Codex shows performance drop linked to reasoning‑token clustering

A GitHub issue has been opened concerning OpenAI's GPT‑5.5 Codex model. The issue notes that the model's reasoning‑token clustering appears to affect output quality. Users have observed a measurable degradation in performance during code generation tasks. The problem is described as clustering of tokens used for reasoning steps. This clustering may lead to less accurate or slower responses from the model. OpenAI has been tagged in the discussion for potential investigation. The community is monitoring the issue for updates and possible workarounds. Future releases may address the clustering behavior if confirmed.