Model pricing
GPT-6 Luna pricing
GPT-6 Luna by OpenAI costs $0.1 per 1M input tokens and $0.5 per 1M output tokens (cached input $0.01, batch input $0.05) as of 2026-10-04. A 1,000-input/500-output request costs $0.00035. The lowest-cost alternative with at least this context window and the same recorded reasoning category is Llama 4 Scout at $0.1/$0.25; capability equivalence is not guaranteed.
Notes
Ultra-low-cost high-volume GPT-6 tier
Key pricing facts
| Fact | Value |
|---|---|
| Input / 1M tokens | $0.1 |
| Output / 1M tokens | $0.5 |
| Cached input / 1M | $0.01 |
| Batch input / output / 1M | $0.05 / $0.25 |
| Context window | 1,050,000 |
| Provider | OpenAI |
| Last verified | 2026-10-04 |
| Snapshot updated | 2026-10-04 |
Last updated: · Source: OpenAI pricing · Methodology
Frequently asked questions
What does GPT-6 Luna cost per million tokens?
Input costs $0.1 and output costs $0.5 per million tokens. The 1,000-input/500-output example costs $0.00035, before discounts, taxes, hidden reasoning tokens or context-tier surcharges.
Does GPT-6 Luna have cached or batch pricing?
Cached input: $0.01 per million tokens under the existing provider cache rules. Batch: $0.05 input and $0.25 output per million tokens. Eligibility and cache-write charges depend on the provider; these discounts are not automatically stacked.
What is a cheaper alternative to GPT-6 Luna?
Llama 4 Scout costs $0.1 input and $0.25 output per million tokens. This comparison matches context capacity and reasoning category, not benchmark quality. Test your workload before replacing a model.
How often are these prices verified?
The live pricing table synchronizes stored model records daily; public file snapshots update when the site is rebuilt. Synchronization is not independent provider verification. Snapshot updated 2026-10-04. The recorded model verification date is 2026-10-04.