AI, LLM & Machine Learning Engineering

LLM Inference Cost & Serving Calculators

What it costs to actually run a language model in production: per-token API pricing split across input and output, cost per user per month, prompt-cache savings, throughput in tokens per second, and the point at which self-hosting beats paying per token.

5 calculators in this category

LLM API Token Cost CalculatorPer-million-token billing conventionLarge-language-model APIs bill per million tokens, with output tokens costing several times more than input tokens and cached…
LLM Cost Per User Per Month CalculatorToken-metered unit economicsThis calculator turns per-token API pricing into the number that decides whether an AI feature can be priced profitably: what…
Self-Hosted LLM vs API Break-Even CalculatorFixed-versus-variable cost break-even analysisSelf-hosting an open-weights model swaps a variable per-token bill for a fixed hourly one, so it wins above a volume and loses…
Prompt Caching Savings CalculatorPrefix-cache token pricing modelCaching a long, unchanging prompt prefix is not free: the first request pays a premium to write the cache, and every hit after…
LLM Throughput & Latency Calculator (Tokens Per Second)Memory-bandwidth-bound decode modelToken generation on a transformer is bound by memory bandwidth, not by arithmetic: every token generated requires reading the…

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