GPT-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, Prompt caching (1,024 minimum, 30m TTL)
Pricing
Every billing leg from the live catalog, in USD per 1M tokens.
| Billing leg | Standard | Long context | Batch |
|---|---|---|---|
| Input | $0.2 / M | $0.4 / M | $0.1 / M |
| Output | $1.2 / M | $1.8 / M | $0.6 / M |
| Cache read | $0.02 / M | $0.04 / M | $0.01 / M |
| Cache write | $0.25 / M | $0.5 / M | $0.125 / 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.
Compare providers
The same model, priced across every platform that serves it. Lowest combined in/out rate is flagged.
| Platform | Input / M | Output / M | Cache read / M | Batch | Access |
|---|---|---|---|---|---|
OpenAILowest | $0.2 | $1.2 | $0.02 | ✓ | First-party API |
Cursor | $0.2 | $1.2 | $0.02 | — | Direct |
Price history
Has this model gotten cheaper or more expensive?
| Effective | Input / Output | Status |
|---|---|---|
| July 10, 2026 – July 30, 2026 | $1 / $6 | past |
| July 30, 2026 | $0.2 / $1.2 | current |
More from OpenAI
Other models from the same provider.
Stop estimating. Track it.
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.