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Equation 8 · Part 3 · The Real Economics of Shipping a Model to a Device

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

Approximately equal to; the equality is not exact.

Its job in the formula

Approximately equal to; the equality is not exact.

The passage around this formula

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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A variable is a named place for a value. Its letter is a local label: x can mean position in one formula and a data point in another.

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Sources cited in the surrounding passage

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