Before it
Each generation had come from more pretraining scale.
The problem
Was there still headroom in scaling pretraining alone, now that reasoning was the growth area?
What it introduced
OpenAI's largest pretraining scale-up, positioned on warmth and fewer hallucinations rather than reasoning.
Why it matters
Read in hindsight as the end of the pure-pretraining era. It was retired within months as the reasoning line took over.
What modern models inherit
A datapoint on the diminishing returns of pretraining scale alone.
What came next
GPT-5 unified the reasoning and chat lines instead of scaling pretraining further.