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Published equation contexts

piL,poLp_i^{L}, p_o^{L}

Why this formula appears here

The pricing structure has a feature worth building a mental model around before it costs you money in production: it is not a marginal rate that blends smoothly as a request grows, it is a cliff. Every model’s documented price list carries two tiers — one for requests under 200,000 tokens, and a materially higher one, roughly double across the board, once a request reaches that threshold — and the higher rate applies to the entire request, not just the tokens past the line [ 1 ] . Written as a cost function of input tokens nin_i and output tokens non_o against a threshold T = 200{,}000 , with low-tier prices piLp_i^{L}, poLp_o^{L} and high-tier prices piHp_i^{H}, poHp_o^{H} :

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poLp_o^{L}

Symbol p_o^L

poLp_o^L is a part of this expression. Its role is fixed by the surrounding article and by the operations shown in the formula.

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Published contexts (1)

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piL,poLp_i^{L}, p_o^{L}

Equation 4 · AI Industry

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This mathematical expression combines the displayed quantities; its precise role follows from the surrounding article text.

The pricing structure has a feature worth building a mental model around before it costs you money in production: it is not a marginal rate that blends smoothly as a request grows, it is a cliff. Every model’s documented price list carries two tiers — one for requests under 200,000 tokens, and a materially higher one, roughly double across the board, once a request reaches that threshold — and the higher rate applies to the entire request, not just the tokens past the line [ 1 ] . Written as a cost function of input tokens nin_i and output tokens non_o against a threshold T = 200{,}000 , with low-tier prices piLp_i^{L}, poLp_o^{L} and high-tier prices piHp_i^{H}, poHp_o^{H} :

Meanings in this article

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