The headline number is the benchmark score. The more useful number is the gap: for roughly two years, closed models held a consistent lead on multi-step reasoning tasks, and that lead was widening. This release closes most of it.
Benchmark parity is not production parity. Latency, tooling, and the operational cost of self-hosting all remain real. But for organisations that cannot send data to a third-party API (healthcare, defence, parts of finance), the question was never price. It was whether the capability existed at all on hardware they control.
Treat the benchmark with the usual suspicion. Contamination is endemic, and a score published by the party that trained the model is a claim, not a finding.