OpenAI says added capacity has sharply reduced Codex capacity errors

OpenAI says added capacity has sharply reduced Codex capacity errors

N
News Editor
2026-10-16 01:24:12
OpenAI product and platform lead Tibo Sottiaux said on Day 11 of the company’s 28-day product sprint that the update was focused on infrastructure rather than new features. According to Sottiaux, OpenAI added more compute capacity for Codex and adjusted backend systems to address the recurring "Selected model is at capacity" error. Users had previously reported that Codex would frequently show the capacity message and interrupt tasks even when subscription usage was still available. Sottiaux said the latest changes have sharply reduced those errors. He added that if the issue appears occasionally, tasks should now resume on their own instead of staying stuck.

OpenAI product and platform lead Tibo Sottiaux said Day 11 of the company’s 28-day product sprint did not include a new feature release. Instead, the work focused on adding more compute capacity for Codex and adjusting backend systems to address the recurring "Selected model is at capacity" error.

Users had previously reported that Codex would frequently show the capacity warning and interrupt tasks even when they still had subscription quota available. Sottiaux said the latest adjustments have sharply reduced those errors. He added that if the issue still appears from time to time, tasks should now recover and continue running on their own rather than remaining stuck.

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