What Is AI Token Pricing?
AI tokens are usage units for model input and output. They are not crypto tokens; they are a practical way to measure text processed by an AI model.
Canonical AI token pricing definition page.
TLDR
AI tokens measure pieces of text read or written by a model.
Providers often charge different prices for input tokens and output tokens.
Token pricing helps estimate cost before a workload goes into production.
Who this is for
Teams new to LLM billing.
Buyers comparing model API invoices from different providers.
Builders who need to estimate prompt and response costs.
AI tokens are usage units
A token is a small piece of text that a language model reads or writes. A short word may be one token. Longer words, punctuation, and non-English text can split differently.
In AI API billing, tokens are simply measurement units. They are not crypto tokens.
When Inferras says AI token pricing, it means model usage pricing.
How token pricing appears
Many providers publish prices as dollars per 1M input tokens and dollars per 1M output tokens. Some also publish cached input, batch, or enterprise tiers.
The safest comparison is to keep each price tied to its model and source page.
| Usage type | Plain meaning |
|---|---|
| Input tokens | Text the model reads before answering. |
| Output tokens | Text the model generates back. |
| Cached input | Repeated input that some providers price differently. |
Practical example
A chatbot that reads a short customer question and writes a long answer may spend more on output. A document search system that reads long files and returns short answers may spend more on input.
Practical examples
Short prompt + long answer: watch output price.
Long document + short summary: watch input price.
FAQ
AI token pricing
What does AI token pricing mean in plain language?
It means the provider charges for units of model usage. For text models, those units usually represent pieces of text the model reads or generates.
Are AI tokens the same as crypto tokens?
No. In this context, AI tokens are usage units for model billing, not blockchain assets, wallets, or tradable instruments.
Where should I go after learning the definition?
Read the input vs output token guide for billing mechanics, then use the Price Radar to compare public listings.
Can one token price estimate my whole app cost?
Not by itself. You also need monthly usage, context length, output length, caching, retries, and model routing.
Source references
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