Unverified50% confidenceFactExact time
When calling an LLM API, the marginal cost grows linearly with the number of requests, whereas the marginal cost per execution of locally compiled decision logic is close to zero, with the main cost shifting to one-time compilation and validation investment.
1
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50%
Confidence
Long-term
Relevance
10/19/2026
First Seen
Sources
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Related Claims
UnverifiedAPI cost structures are usually determined by number of calls, input and output token volume, or compute duration, and most vendors impose rate limits; with local deployment, after a one-time hardware investment, the marginal cost per call is close to zero.77% similarUnverifiedIn LLM API calls, output tokens are typically more expensive than input tokens because the generation process requires more computational resources.72% similarUnverifiedThe current pricing systems of mainstream LLM APIs are usually composed of several dimensions: per-token billing (distinguishing input/output), per-call billing, tiered pricing, and cache-hit discounts.70% similarUnverifiedAPI calls are billed by token; it is recommended to set a spending cap or only top up a small balance in the early stages to avoid unexpected charges caused by code bugs triggering repeated calls.70% similarUnverifiedPrompt caching charges only one-tenth the price for input tokens that have already been processed, making it one of the highest-leverage cost optimizations on modern LLM APIs.70% similar
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