Equation 14 · Comparing Frontier Model Pricing Without Comparing Apples to Oranges
What does this equation mean?
Read the formula alongside the article passage below. Each part has a deeper page with its role in the equation, the supporting passage and nearby citations.
the cache-read multiplier. Read the equation part by part below; each part has a contextual explanation and a link to its mathematical background.
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subscript
The lower label selects a particular version, component, or indexed member of the quantity. For example, x₀ and xₜ can be values at different positions.
How to interpret it
Read this expression with the definitions, units, and assumptions supplied by the article.
What the article says around this equation
Reading and off a rate card and comparing them directly across vendors is equivalent to assuming , , and are all equal to each other and to 1 across every vendor in the comparison. This article has just shown that one of those three, , genuinely does converge close to 0.1 across all three companies’ published cards — the one term a naive comparison happens to get right by accident. The other two do not converge, are not published as clean multipliers by any vendor, and vary by content type and by task in ways that only measurement on the caller’s own workload can pin down. A price comparison that reports and…
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Reading and off a rate card and comparing them directly across vendors is equivalent to assuming , , and are all equal to each other and to 1 across every vendor in the comparison. This article has just shown that one of those three, , genuinely does converge close to 0.1 across all three companies’ published cards — the one term a naive comparison happens to get right by accident. The other two do not converge, are not published as clean multipliers by any vendor, and vary by content type and by task in ways that only measurement on the caller’s own workload can pin down. A price comparison that reports and alone has silently set = = 1 for every vendor, an assumption none of the sourcing above supports.
Sources cited in the article section
- [8] Comparison of AI Models across Intelligence, Performance, and Price ↗
- [7] LLM Inference Price Trends ↗
These citations give research context. Read each source to check which claims it supports.
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