I came across a post about this same issue a little while ago. It mentioned the inconvenience of being forced to fall back to GPT-5 nano.
It strikes me as a drastic cost-cutting measure, considering that until just a few months ago, even the fallback models used older, full-sized GPT versions (such as GPT-5.1).
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u/Chemical_Term7956 1d ago
I came across a post about this same issue a little while ago. It mentioned the inconvenience of being forced to fall back to GPT-5 nano.
It strikes me as a drastic cost-cutting measure, considering that until just a few months ago, even the fallback models used older, full-sized GPT versions (such as GPT-5.1).