Codex users report rapid quota drains since May 10
OpenAI Developer Community
May 20, 2026
One practical way to debug this is to separate three counters that often get collapsed together: prompt text size, tool/runtime activity, and verified progress. A short prompt can still become expensive if it opens browser/tool loops, retries after failures, or keeps re-reading large context without producing a durable change.
The usage UI would be much easier to trust if each Codex run exposed a small receipt: model used, wall time, tool calls, context/read volume, whether files/tests changed, and the stop reason. Then users could tell the difference between a real metering bug, a workspace-specific loop, and a normal higher-cost task.
Discussion in the ATmosphere