Free AI API Tiers: How to Compare Limits That Keep Moving
Free tier numbers rot within weeks, and several vendors have stopped publishing them entirely. Here is a method for comparing them that survives the churn.
ReadPractical writing for developers building with large language models — how they work, how to pick one, and how to keep the bill predictable.
What inference costs, and why the billing model matters.
Free tier numbers rot within weeks, and several vendors have stopped publishing them entirely. Here is a method for comparing them that survives the churn.
ReadOutput tokens cost several times more per token, yet input usually dominates the bill. Here is how to compute your own blended rate and act on it.
ReadNo inference provider can sell genuinely uncapped compute. Here is what the word hides, why the limits exist, and exactly what to demand in writing before you buy.
ReadToken counts are not returns. Here is how to convert engineer hours into money, pick a metric that survives scrutiny, and avoid the usual measurement traps.
ReadMetered inference makes sense until you start using agents. Here is the arithmetic that decides which billing model is cheaper for how you actually work.
ReadCache writes cost more than normal input, so caching only pays above a read threshold. Here is the arithmetic for TTL choice, hit rate and breakpoint placement.
ReadRunning open weights on rented GPUs has a break-even volume. Here is how to compute yours from throughput and utilisation, and why most teams never reach it.
ReadA bottom-up method for budgeting model spend on a team of five to twenty, including the buffer to hold, the caps to set, and the alerts that matter.
ReadThe model invoice is the smallest line item. Here is the full list of what agentic coding actually costs, and a method for pricing each part yourself.
ReadFinance teams need cost drivers, allocation and controls, not a lecture on transformers. Here is how to translate token usage into terms a budget owner can act on.
ReadThere is no single number, but there is a reliable way to derive yours. Work through the token arithmetic behind light, typical and heavy agentic usage.
ReadFan-out is the dominant cost term once you run agents in parallel. Here is the arithmetic for coordinator and subagent spend, plus what actually reduces it.
ReadShowing 49–60 of 62 articles