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GPT-5.6 Luna API pricing & cost
Current token rates, context limits, workload examples and unit-economics shortcuts for GPT-5.6 Luna.
Input / 1M tokens$0.2
Output / 1M tokens$1.2
Cached input / 1M$0.02
Context window1.05M tokens
Pricing page fallback verified September 3, 2026; client checks TokenCOGS live registry on load.
Quick cost examples
Change the token assumptions →
What the token rates mean in dollars
Example workload: 2,000 input tokens + 500 output tokens per request, standard text-token pricing.
| Volume | Estimated API cost | Approx. / request |
|---|---|---|
| 1,000 requests | $1.00 | $0.0010 |
| 100,000 requests | $100.00 | $0.0010 |
| 1,000,000 requests | $1,000.00 | $0.0010 |
Positioning
Where GPT-5.6 Luna sits on price
GPT-5.6 Luna sits toward the lower-cost end of this provider’s current model lineup. Price alone is not a quality ranking, but this position is useful when you are screening models for unit-economics fit before benchmarking latency and quality.
Cost comparison is not a quality, latency or reliability ranking. Benchmark the task you actually need to run.
Compare all OpenAI models →Cost considerations
What can move the invoice
- Cached input is tracked at $0.02 per 1M tokens, which can materially change repeated-system-prompt or repeated-context workloads.
- Long-context pricing rules apply above 272,000 input tokens in the current registry. Large-document and agent workloads should model that threshold explicitly.
Current deals & credits
Ways this provider may reduce spend
Use your workload
Turn pricing into unit economics
FAQ
GPT-5.6 Luna pricing questions
How much does GPT-5.6 Luna cost per 1M tokens?
The current TokenCOGS snapshot lists GPT-5.6 Luna at $0.2 per 1M input tokens and $1.2 per 1M output tokens. Live registry data can update these values when the provider changes pricing.
What would 1,000 GPT-5.6 Luna requests cost?
At 2,000 input tokens and 500 output tokens per request, 1,000 requests are approximately $1.00 before provider-specific extras. Change the workload in the linked calculator for your own usage pattern.
Is GPT-5.6 Luna the cheapest OpenAI model?
GPT-5.6 Luna sits toward the lower-cost end of this provider’s current model lineup. Price alone is not a quality ranking, but this position is useful when you are screening models for unit-economics fit before benchmarking latency and quality.