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κi=1\kappa_i = 1

Why this formula appears here

Collecting every distinction above into one expression makes explicit what a bare price comparison assumes without saying so. For vendor i , let piinp^{\text{in}}_i and pioutp^{\text{out}}_i be the published input and output rates; let κi\kappa_i be a tokenizer expansion factor, the number of tokens vendor i ’s own tokenizer needs to encode one fixed reference passage, normalised so κi\kappa_i = 1 for whichever vendor is used as the baseline; let hih_i be the fraction of input served from cache and γi\gamma_i the cache-read multiplier; and let ρi\rho_i be the ratio of total output tokens generated, visible answer plus hidden reasoning, to the visible answer alone. A workload’s realised cost per completed task…

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κi\kappa_i

Symbol kappa_i

kappaia_i is part of the quantity the equation computes from the expression on the right.

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κi=1\kappa_i = 1

Equation 6 · Model Evaluation

Comparing Frontier Model Pricing Without Comparing Apples to Oranges

This equation states an equality: the expressions on both sides have the same value under the article’s assumptions.

Collecting every distinction above into one expression makes explicit what a bare price comparison assumes without saying so. For vendor i , let piinp^{\text{in}}_i and pioutp^{\text{out}}_i be the published input and output rates; let κi\kappa_i be a tokenizer expansion factor, the number of tokens vendor i ’s own tokenizer needs to encode one fixed reference passage, normalised so κi\kappa_i = 1 for whichever vendor is used as the baseline; let hih_i be the fraction of input served from cache and γi\gamma_i the cache-read multiplier; and let ρi\rho_i be the ratio of total output tokens generated, visible answer plus hidden reasoning, to the visible answer alone. A workload’s realised cost per completed task…

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