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GPT-5.2

Appears in 6 benchmarksMean lean (confidence − pass rate): +0.015/6 benchmarks lean overconfident (prospective probe)

Positioning spread

0.000.250.500.751.00SQuAD (factual recall)MMLU-Pro (knowledge)LegalBench (legal reasoning)MathBench (competition math)OmniMath (advanced math)SciCode (scientific code)performanceconfidence (red gap = overconfident)
Performance vs. confidence for GPT-5.2, per benchmark (prospective probe).
BenchmarkTask accConfidenceF₁Leans
SQuAD (factual recall)0.620.410.67-0.21 cautious
MMLU-Pro (knowledge)0.730.810.86+0.08 overconfident
LegalBench (legal reasoning)0.850.850.85+0.00 calibrated
MathBench (competition math)1.001.001.00+0.00 calibrated
OmniMath (advanced math)0.850.940.92+0.09 overconfident
SciCode (scientific code)0.580.650.74+0.07 overconfident

In the full cloud

-3-3-2-2-1-100112233Performance z-score within benchmark/probe →Confidence z-score →
GPT-5.2 conditions all other model/condition points equal relative confidence and pass rate

Pairwise footprint

Match accuracy controls for the performance base-rate gap
GPT-5.2 pairs
18/ 171
GPT-5.2 mean tau
+0.022
All-pairs mean
+0.037
GPT-5.2 p<0.05
5(27.8%)
-1.0-0.50.00.51.0Pair signal: do confidence gaps rank performance gaps? (Kendall tau-b)
all model pairs (observed) base-rate-matched null calibration-preserving null GPT-5.2 pair (filled = p<0.05) GPT-5.2 mean all-pairs mean
vs GPT-4o →vs GPT-4o mini → Compare with anything →