OpenAI pricing profile

GPT-5.6 Luna

Cost-sensitive GPT-5.6 model for high-volume workloads.

active economy 1,050,000 context Verified 2026-08-02

Pricing modes

USD per one million tokens. Unsupported rate types are shown as unavailable rather than treated as zero.

Mode	Input	Cached input	Cache write	Output	Long-context band
standard	$0.2	$0.02	$0.25	$1.2	Input $0.4 / output $1.8
batch	$0.1	$0.01	$0.125	$0.6	Input $0.2 / output $0.9
flex	$0.1	$0.01	$0.125	$0.6	Input $0.2 / output $0.9
fast	$0.4	$0.04	$0.5	$2.4	—

Worked example

$0.0224

Estimated token cost for one request. At 10,000 identical requests per month, the token subtotal would be $224.

Technical limits

Context window1,050,000 tokens

Maximum output128,000

Long-context threshold272,000

Tokenizer profileopenai

Requests above 272,000 input tokens may use a higher long-context price band.
Cached-token savings depend on provider eligibility and correct cache implementation.
Eligible regional processing can add 10% to token charges.
Web search is separately priced at $10 per 1,000 calls in the registry.
Taxes, cloud marketplaces, enterprise contracts, retries, latency and quality differences are not included in this example.

Pricing was checked against first-party documentation on 2026-08-02. The active schedule is effective from 2026-07-30.

Compare models from the same provider before evaluating quality and latency.

Frontier reasoning and coding model for complex professional work.

Balances intelligence and cost for production applications.

Smaller reasoning model for lower-cost agent and coding tasks.