Model pricing
GPT-6 Luna API list price — cost per token
GPT-6 Luna costs $0.10 per million input tokens and $0.50 per million output tokens (USD). Requests at >272K tokens are billed at a premium tier for the whole request.
| Token rate | USD / 1M tokens |
|---|---|
| Effortqualitative reasoning depth | Low |
| Inputper 1M tokens | $0.10 |
| Output | $0.50 |
| Cache writeper 1M tokens | $0.125 |
| Cache readper 1M tokens | $0.01 |
| Input · >272K context | $0.20 |
| Output · >272K context | $0.75 |
Notional list price. These are OpenAI (GPT / Codex) API list prices in USD. On a Codex usage this is a notional list price — what usage would cost at API rates, not metered spend.
Cache & context economics
GPT-6 Luna adds cache reads at $0.01 / 1M — about a tenth of input, Cache writes cost $0.125 per million tokens., a >272K tokens context tier that reprices the whole request.
Common questions
- How much does GPT-6 Luna cost per million tokens?
- $0.10 input and $0.50 output per million tokens (USD list price).
- What is the cache-read price for GPT-6 Luna?
- $0.01 per million cached-read tokens — about a tenth of the input rate.
- How is cache writing priced for GPT-6 Luna?
- Cache writes cost $0.125 per million tokens.
- Does GPT-6 Luna have a context pricing tier?
- Yes — at >272K tokens input rises to $0.20 per million for the entire request.
Track your real cost with JP the Cat
A live menu-bar total, priced to the cent from your local logs — including the cache-write split most tools miss.
Download MeowPrefer Homebrew? Install the same signed, notarized app from JP's public tap.
brew tap 8bittts/jpthecat
brew trust 8bittts/jpthecat
brew install --cask jpthecat