OpenAI pricing profile

GPT-5.6 Luna

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

activeeconomy1,050,000 contextVerified 2026-08-02

Pricing modes

USD per one million tokens. A documented long-context band applies to the full request when its threshold is crossed.

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 standard-tier token cost for one request. At 10,000 identical requests per month, the token subtotal would be $224.00.

Technical limits

Context window1,050,000 tokens

Maximum output128,000

Long-context threshold272,000

Tokenizer profileopenai

Requests above 272,000 input tokens can move into a higher long-context price band.
Cached-token savings depend on provider eligibility and correct cache implementation.
Eligible regional processing endpoints can add 10% to token charges.
Web search is separately priced at $10 per 1,000 calls in the public list-price model.
Taxes, cloud marketplaces, enterprise contracts, retries 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.

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