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Published equation contexts

Qdistill∗=600/0.0018≈333,000Q^{*}_{\mathrm{distill}} = 600 / 0.0018 \approx 333{,}000

Why this formula appears here

As a worked illustration only, not a claim about any real company’s ledger: take Alpaca’s disclosed $600 and assume, as an order-of-magnitude figure consistent with how frontier and compact API tiers are typically priced relative to each other, that a teacher-class model costs $0.002 per query to serve and a well-distilled student costs $0.0002 — a tenfold gap. Then Qdistill∗Q^{*}_{\mathrm{distill}} = 600 / 0.0018 ≈\approx 333{,}000 queries. Any production feature serving that many requests clears the investment in days, sometimes hours. This is the arithmetic reason distillation has become the default route to a deployable small model rather than a research curiosity: the pipeline cost is a rounding…

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Qdistill∗Q^{*}_{\mathrm{distill}}

Symbol Q^*_distill

Qd∗Q^*_distill is part of the quantity the equation computes from the expression on the right.

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Its accuracy depends on the assumptions and range of use described in the article. Read it with the definitions, units, and assumptions supplied by the article.

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Published contexts (1)

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Qdistill∗=600/0.0018≈333,000Q^{*}_{\mathrm{distill}} = 600 / 0.0018 \approx 333{,}000

Equation 8 · Edge AI & Electronics

The Real Economics of Shipping a Model to a Device

This equation gives an approximation: it relates the quantities while allowing an approximation.

As a worked illustration only, not a claim about any real company’s ledger: take Alpaca’s disclosed $600 and assume, as an order-of-magnitude figure consistent with how frontier and compact API tiers are typically priced relative to each other, that a teacher-class model costs $0.002 per query to serve and a well-distilled student costs $0.0002 — a tenfold gap. Then Qdistill∗Q^{*}_{\mathrm{distill}} = 600 / 0.0018 ≈\approx 333{,}000 queries. Any production feature serving that many requests clears the investment in days, sometimes hours. This is the arithmetic reason distillation has become the default route to a deployable small model rather than a research curiosity: the pipeline cost is a rounding…

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