OpenAIGPT-5.6 Luna
The fastest, most affordable GPT-5.6 tier for high-volume drafting, summarization, and routine automation where latency and cost dominate.
Source: OpenAI models, OpenAI pricing
Pricing
Every billing leg from the live catalog, in USD per 1M tokens.
| Billing leg | Standard | Long context | Batch |
|---|---|---|---|
| Input | $1 / M | $2 / M | $0.5 / M |
| Output | $6 / M | $9 / M | $3 / M |
| Cache read | $0.1 / M | $0.2 / M | $0.05 / M |
| Cache write | $1.25 / M | $2.5 / M | $0.625 / M |
Long-context rates apply above 272,000 input tokens.
Cost calculator
Billing-grade math over the rate card above, including the thinking tokens most estimates miss.
Hidden reasoning tokens bill as output. 1.0x = thinking off. Medium-effort reasoning typically lands near 3x; heavy reasoning runs 6x to 8x. Set it to match your workload.
Provider
Where this model runs, and what it charges.
| Platform | Input / M | Output / M | Cache read / M | Batch | Access |
|---|---|---|---|---|---|
OpenAI | $1 | $6 | $0.1 | ✓ | First-party API |
Price history
Has this model gotten cheaper or more expensive?
More from OpenAI
Other models from the same provider.
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SuperPenguin meters every GPT-5.6 Luna call your team makes, prices it with this exact rate card, and shows spend by feature, customer, and team.
Rates are generated from SuperPenguin's live pricing catalog.