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OpenAI · AI model API pricing

How much does GPT-5.6 Luna cost?

The fast, light GPT-5.6 tier — a July 2026 repricing cut it five-fold to $0.20/$1.20, putting current-generation OpenAI quality at budget-tier rates.

Rate card

Input tokens$0.20 / 1M
Cached input$0.02 / 1M
Output tokens$1.2 / 1M
Context window1M

What that means per month

WorkloadTokens / monthCost / month
Prototype 1M in · 0.3M out $0.56/mo
Small app 10M in · 3M out $5.60/mo
Production app 50M in · 15M out $28/mo
High volume 200M in · 60M out $112/mo
Heavy platform 1B in · 300M out $560/mo
Price it at your exact usage Official pricing page

Standard on-demand rates from OpenAI's official pricing page, last checked 2026-07-28. Batch API runs at 50% of these rates. Monthly figures exclude caching and batch discounts. Confirm live pricing before committing.

Where GPT-5.6 Luna sits on price

At the reference month of 10M input and 3M output tokens, GPT-5.6 Luna costs $5.60, which makes it the 4th cheapest of the 30 models tracked here. That is 3.3× the price of Qwen-Flash, the cheapest model at this mix ($1.70). Among the 9 budget-tier models it ranks 4th, behind Qwen-Flash at $1.70.

Cache economics

Cached input on GPT-5.6 Luna bills at $0.02 per 1M — 10% of its own input rate, against a 10% median across the models here that publish a cached-read price. 2 models discount cached reads more steeply than this. On the reference month, serving 80% of that input from cache takes the input side of the bill from $2 to $0.56, leaving output untouched at $3.60 — which is why a high reuse rate changes the ranking above rather than just shaving the total.

Cache reads only. Writes are billed separately by some providers and are excluded here — see the rate note above for OpenAI's terms. Try it at your own hit rate on the AI cost calculator.

Cheaper alternatives

At a reference workload of 10M input / 3M output tokens a month, these cost less than GPT-5.6 Luna ($5.60/mo):

GPT-5.6 Luna head-to-head

GPT-5.6 Luna price history

See all tracked price changes →