What does this equation mean?

This is exactly why the more careful independent evaluators have converged on publishing the raw triple rather than a single blended figure. Vals AI, an independent third-party evaluator that builds benchmarks for professional domains such as law, tax, and finance, states its position on this directly: “benchmarks often report only accuracy numbers; however, it is important to consider factors such as efficiency, cost, time taken per test, failure modes, and more” [ 4 ] . Its published results report accuracy, latency, and cost as three separate figures per model per benchmark, alongside error bars meant to reflect statistical uncertainty in each one [ 4 ] — leaving the weighting between them to the reader rather than baking a $\lambda_c$ and $\lambda_l$ into the ranking itself. That is a defensible editorial choice, and it is a minority one; most agent benchmarks still publish only s .