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[Pro][Windows] Multiple Codex models repeatedly fail with "Selected model is at capacity" / server_overloaded #45376
I am experiencing the same issue on Windows with a ChatGPT Pro 20x subscription.
The problem started around Sep 22, 2026 and is still occurring on Sep 29.
The error is:
Selected model is at capacity. Please try a different model.
In my recent use it occurs on virtually every Codex task, often multiple times during the same task.
I extracted 60 distinct affected turns from local Codex session logs across 12 source log files. All 60 records contain:
codex_error_info: server_overloaded
Local selected_model values in those records:
gpt-6-astra: 46
gpt-5.6-sol: 5
gpt-6-sol: 1
unknown: 8
I submitted an affected session through Codex /feedback with diagnostic logs included.
Feedback ID: 01a0eb8b-243f-7bd1-83d4-1a8de7299c2b
OpenAI Help Center repeatedly returns the Model/Feature Access limitation template and immediately closes the support case, so I have not been able to obtain an individual technical review.
Please correlate this Feedback ID with server-side diagnostics if possible.
Activity
github-actions commentedon Sep 14, 2026
Potential duplicates detected. Please review them and close your issue if it is a duplicate.
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xini444915666-ctrl commentedon Sep 29, 2026
I am experiencing the same issue on Windows with a ChatGPT Pro 20x subscription.
The problem started around Sep 22, 2026 and is still occurring on Sep 29.
The error is:
Selected model is at capacity. Please try a different model.In my recent use it occurs on virtually every Codex task, often multiple times during the same task.
I extracted 60 distinct affected turns from local Codex session logs across 12 source log files. All 60 records contain:
codex_error_info: server_overloadedLocal selected_model values in those records:
I submitted an affected session through Codex
/feedbackwith diagnostic logs included.Feedback ID:
01a0eb8b-243f-7bd1-83d4-1a8de7299c2bOpenAI Help Center repeatedly returns the Model/Feature Access limitation template and immediately closes the support case, so I have not been able to obtain an individual technical review.
Please correlate this Feedback ID with server-side diagnostics if possible.