OpenAI API
GPT-6 Luna API Pricing 2026 — Cost per 1 Million Tokens
Current GPT-6 Luna API pricing from OpenAI per 1 million tokens, including input, output and cached-token rates when available.
| Model | Rate | Price / 1M tokens |
|---|---|---|
| GPT-6 Luna OpenAI's efficient GPT-6 model for focused, high-volume tasks. 1.05M context · 128K max output · text/image input · reasoning none/low/medium/high/xhigh/max. Standard pricing. OpenAI applies the long-context tier above 272K input tokens. | Input — Standard, ≤272K input | $0.1 |
| GPT-6 Luna | Cached input — Standard, ≤272K | $0.01 |
| GPT-6 Luna | Cache write — Standard, ≤272K | $0.125 |
| GPT-6 Luna | Output — Standard, ≤272K input | $0.5 |
| GPT-6 Luna | Input — Standard, >272K input | $0.2 |
| GPT-6 Luna | Cached input — Standard, >272K | $0.02 |
| GPT-6 Luna | Cache write — Standard, >272K | $0.25 |
| GPT-6 Luna | Output — Standard, >272K input | $0.75 |
How API token cost is calculated
Multiply the number of tokens by the provider rate, then divide by 1,000,000.
cost = tokens × price per 1M ÷ 1,000,000
Example: 250,000 input tokens at $2 / 1M = $0.50.