GPT-6 Luna pricing
$0.100 per million input tokens, $0.500 per million output tokens, 1.1M-token context window. A 1,500-in / 400-out request costs $0.0004.
- Input / 1M tokens
- $0.100
- Output / 1M tokens
- $0.500
- Cached input / 1M
- $0.010
- Context window
- 1.1M tokens
- Max output
- 128K tokens
- Released
- —
Worked cost examples
| Workload | Per request | 1,000 requests | 6,000 requests / month |
|---|---|---|---|
| Customer-support reply (1,500 in / 400 out) | $0.0004 | $0.350 | $2.10 |
| Document summary (20,000 in / 1,000 out) | $0.0025 | $2.50 | $15 |
| Code review pass (8,000 in / 1,500 out) | $0.0016 | $1.55 | $9.30 |
List prices only. Caching, batch tiers and volume agreements can change these numbers substantially.
Where it sits on price
Of the 30 models in this catalog, GPT-6 Luna ranks 3 by output price — cheaper than 26 and more expensive than 2. Cached input is billed at $0.010 per million tokens, about 10% of the standard input rate, so a high cache-hit rate changes the picture.
Price is not capability. A model that is half the price but needs two attempts, or that cannot hold your context, is the more expensive choice. Use these figures for budgeting and run your own evaluation for the quality decision.
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List price last verified Oct 15, 2026 against the vendor's published pricing. Vendors change prices without notice — confirm on the vendor's page before you commit.