These drive list-page scanning, compare ranking, and calculator interpretation.
AI API pricing glossary
Use this page for support queries like what is input price, cached pricing, batch discount, blend, or budget fit. It defines labels fast, then sends you back to the tool or detail page where the decision happens.
Core pricing terms
These definitions show up most often in ranking, compare, and single-model reads.
Input price
The normalized cost for prompt tokens, shown per 1M tokens. Prompt-heavy or retrieval-heavy workloads usually feel this first.
Output price
The normalized cost for generated tokens, shown per 1M tokens. Long-form generation often leans on this field more heavily.
Cached pricing
A discounted input rate for the cached share of reusable prompt context. It is not the same thing as batch mode.
Batch discount
A provider-listed reduced execution rate for asynchronous or batch-style processing. Batch counts elsewhere on the site refer to listed batch pricing fields, not blanket provider-wide support.
Blend
A ranking shortcut equal to 75% input price plus 25% output price. It helps scanning, but it is not a substitute for your real workload.
Budget fit
The maximum monthly request count affordable under the exact request shape and budget shown on the page.
Currency and calculator terms
These matter most once prices are translated into workload cost.
Source currency
The currency attached to the stored provider snapshot. This is the native basis of the captured price.
Display currency
The requested viewing currency for homepage, compare, and calculator results. If FX conversion is unavailable, rows fall back to source currency.
Cache hit ratio
The share of input tokens assumed to qualify for cached pricing. It only changes the input side of the workload math.
1k requests cost
A planning shortcut that turns the current request shape into a comparable per-thousand-requests cost.
Source and history terms
These explain why a number should be trusted and how pricing history evolves over time.
Updated
The freshest primary signal. It tells you when the latest stored pricing snapshot was captured.
Checked
A secondary verification timestamp for the stored snapshot. It can match the latest snapshot when no separate verification pass exists.
Official-first source
The snapshot came from the active official public pricing source for that provider, which remains the preferred path across the site.
Verified fallback
The snapshot came from a public fallback source because the preferred official path is not consistently crawlable right now, and that limitation stays visible.
Manual baseline
A manually verified bootstrap reference point used until fresher crawls replace it.
History window
A 7d, 30d, or 90d comparison against the latest point, only shown when enough stored history exists for that window.
History confidence
The model detail badge compresses stored history depth into a direct read: warming up, low confidence, or usable signal. It is driven by stored history depth, not guessed from one fresh-looking point.
Use compare after the term is clear and you want to rank a shortlist under one workload setup.
Open compareCalculator is the right follow-up once terms like cached pricing or budget fit are clear and you need an estimate.
Open calculatorUse FAQ for short support answers and methodology for formulas, history logic, and data flow.
Read methodology