GPT-5.6 Luna API pricing

The small, low-cost tier of the GPT-5.6 family.

VisionTool callingReasoningPrompt cachingWeb searchPDF input

Input

$0.20

per 1M tokens

Cached input

$0.02

per 1M tokens

Cache write

$0.25

per 1M tokens

Output

$1.20

per 1M tokens

Context window

1M

max output 125K

Prices last synced Aug 20, 2026 from the LiteLLM community price catalog — the same catalog Marginal prices real usage events against, refreshed daily. Hand-checked against the provider's official pricing page on Aug 20, 2026. Spot an error? Tell us.

Pricing notes

  • Cache writes bill at $0.25/1M (1.25x input). Long-context (input over ~272K tokens): the whole request bills $0.40 input / $0.04 cached / $1.80 output per 1M.
  • Batch and Flex tiers are 50% off these rates; Fast mode is roughly 2x (varies by model).

What would GPT-5.6 Luna cost you?

Enter your workload — add other models to compare the same traffic across providers.

Your monthly workload

Cache hit rate = share of input tokens served from the provider's prompt cache, billed at the model's cached-input price. Estimates use standard per-token rates — batch discounts, service tiers, and long-context surcharges are not applied.

GPT-5.6 Luna
ModelInputCached inputOutputPer requestMonthly
GPT-5.6 Luna$120$8.00$300$0.00086$428
Rates used: GPT-5.6 Luna $0.20 in / $1.20 out

Compare GPT-5.6 Luna

More from OpenAI

Tracking GPT-5.6 Luna in production?

Marginal prices every call your app actually makes — cached tokens, dated snapshots, model switches included — and slices spend by customer or feature. One track() call to integrate.