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gpt-5.5 capacity errors and recovered session returns with only ~60-70% context left #27149
Selected model is at capacity. Please try a different model.
After switching models to recover the session, it often comes back showing only around 60-70% context left instead of what appears to be a fresh/full context window.
What steps can reproduce the bug?
Use Codex CLI on macOS
Run an active coding session with tool use
Hit the capacity error on gpt-5.5
Switch to another model such as gpt-5.4
Observe that the recovered session often shows only about 60-70% context left
What is the expected behavior?
The session should continue without capacity interruptions, or
if recovery is required, the recovered session should not come back with unexpectedly reduced available context
Additional information
Switching to gpt-5.4 allowed the session to continue
I also noticed another similar report shortly before posting, so this does not look isolated
Activity
github-actions commentedon Jun 9, 2026
Potential duplicates detected. Please review them and close your issue if it is a duplicate.
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martinmclee commentedon Jun 16, 2026
I?m seeing this issue right now and wanted to add a direct data point.
I can reproduce this repeatedly during normal usage with that model. Fallback to another model is required to continue.
Could this be tied to backend regional model-capacity routing even for non-cloud/local sessions?
martinmclee commentedon Jun 16, 2026
I?m seeing this issue right now and wanted to add a direct data point.
I can reproduce this repeatedly during normal usage with that model. Fallback to another model is required to continue.
Could this be tied to backend regional model-capacity routing even for non-cloud/local sessions?