GPT-5.5 Codex inference token clustering at 516/1034/1552 may cause performance drop on complex tasks
Summary I found an aggregate pattern in Codex token_count metadata: gpt-5.5 responses disproportionately land at exactly reasoning_output_tokens = 516, with additional fixed-boundary spikes around 1034 and 1552.
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