GPT-5.6 Luna Pro API Pricing
OpenAI · Budget · Proprietary · released 2026-07. Prices in USD per 1 million tokens. Data snapshot: 2026-08-14.
- Input: $0.10 per 1M tokens
- Output: $0.60 per 1M tokens
- Batch API (input/output): $0.10 / $0.60
- Prompt-cache read: $0.01
- Context window: 1M
Cost per request by business use case
List price vs optimized (prompt caching on the cached input share, batch API for async workloads — only where the provider publishes those rates).
| Use case | Tokens (in/out) | Cost/req (list) | Cost/req (optimized) | Monthly @100K req |
|---|---|---|---|---|
| Support Ticket | 1,500 / 500 | $0.000450 | $0.000369 | $37 |
| Knowledge Q&A | 2,000 / 800 | $0.000680 | $0.000554 | $55 |
| Meeting Summary | 10,000 / 1,200 | $0.0017 | $0.0016 | $163 |
| Marketing Content | 2,500 / 1,800 | $0.0013 | $0.0013 | $129 |
| Coding Task | 3,000 / 2,000 | $0.0015 | $0.0014 | $137 |
| Invoice Processing | 1,500 / 600 | $0.000510 | $0.000469 | $47 |
| Call Summary | 2,000 / 700 | $0.000620 | $0.000602 | $60 |
| Agent Workflow | 6,000 / 3,000 | $0.0024 | $0.0020 | $202 |
These are list prices — real cost also depends on caching, batching, negotiated discounts, marketplace agreements, and existing contracts. Get a FinOps review from OptimNow or compare all models.