ModelRefs / Cost Per Token — AI Glossary
Cost Per Token — AI Glossary
The unit price charged by an LLM API per input or output token; the primary metric for comparing inference pricing across providers. 25/MTok, output $5/MTok.
Overview
Token pricing is asymmetric: output tokens cost 3–5× input tokens (more compute intensive). As of 2025: GPT-4o input $2.50/MTok, output $10/MTok; Claude Sonnet 4 input $3/MTok, output $15/MTok; Gemini 1.5 Pro input $1.25/MTok, output $5/MTok. Effective cost depends on average prompt/completion lengths in your workload.
Reference details
| Topic | ecosystem |
|---|---|
| Also known as | token price, price per token |
| Last reviewed | 2026-06-24 |
Related terms
Continue your research
Use these connected ModelRefs sections to compare alternatives, inspect implementation paths, and review the evidence and governance boundaries relevant to Cost Per Token — AI Glossary.
Frequently asked questions
What is Cost Per Token?
The unit price charged by an LLM API per input or output token; the primary metric for comparing inference pricing across providers.
Is Cost Per Token the same as token price?
Yes — token price, price per token are common aliases for Cost Per Token.
What concepts are related to Cost Per Token?
Closely related concepts include cost per request, tokens per minute, inference cost.