Before it
o1 had established RL-trained reasoning three months earlier.
The problem
Was the approach a one-off, or does reasoning keep improving with more RL and more inference compute?
What it introduced
Large jumps on ARC-AGI and FrontierMath, at very high inference cost per task.
Why it matters
It showed the reasoning axis had real headroom. Note the scores are OpenAI-reported, ARC-AGI results are on the public eval set, and Epoch AI later disclosed OpenAI funding and data access for FrontierMath.
What modern models inherit
Reasoning capability that scales with inference spend, and the cost question that comes with it.
What came next
Released in April 2025 alongside o4-mini, then folded into GPT-5.