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This might be inherent to how the models are benchmarked.

Aren’t some benchmarks giving the model multiple shots at a problem and only keep the successful result if it appeared, ignoring the failure rate?

Good point. We need the mean, “any 1 of 10” and the “all 10 of 10” success rates in the metrics, so we can estimate reliability (the last one).