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GPT-5.6 Luna API price, and what each result really costs

OpenAI, listed 9 Jul 2026. Price checked 12 Nov 2026; unchanged since we started tracking it. Source: OpenAI's pricing page. openai/gpt-5.6-luna

List price per million tokens

Input
$0.20
Cached input
$0.02
Output
$1.20
Context window
1.05M tokens

Note: Long context (>272K input tokens): $0.40 in / $0.04 cached / $1.80 out.

What it costs per task, and per task that works

Six common task shapes with typical token counts. The real cost counts the tries that get redone; the rates are examples, not measurements.

TaskPer 1,000 triesPer 1,000 that work, 8 in 10Per 1,000 that work, 6 in 10Per 1,000 that work, 4 in 10
Support bot answer3,000 in / 300 out$0.96$1.20$1.60$2.40
Invoice field extraction2,500 in / 250 out$0.80$1.00$1.33$2.00
Lead scoring1,200 in / 100 out$0.36$0.45$0.60$0.90
Email reply draft1,500 in / 400 out$0.78$0.97$1.30$1.95
Translation900 in / 800 out$1.14$1.42$1.90$2.85
Search re-ranking4,000 in / 50 out$0.86$1.08$1.43$2.15

Work out your own real cost per resultTest GPT-5.6 Luna on your own prompt

Compare GPT-5.6 Luna with

Worked-through switches: GPT-5 nano → GPT-5.6 Luna: cost and quality on real tasks

Questions

How much does the GPT-5.6 Luna API cost?

$0.20 per million input tokens and $1.20 per million output tokens, or $0.02 per million for cached input. Price checked 12 Nov 2026; unchanged since we started tracking it.

What does a result that works really cost with GPT-5.6 Luna?

A support bot answer (about 3,000 tokens in, 300 out) costs $0.00096 per try. If 6 in 10 work first time, each answer that works really costs $0.0016, because the redone ones were paid for too.