# GPT-5.6 Luna pricing at high call volume > GPT-5.6 Luna pricing is $0.20 per million input and $1.20 output, the cheapest OpenAI tier. Why volume, not rate, decides what it costs you. URL: https://getculpa.com/gpt-5-6-luna-pricing Last reviewed: 2026-08-01 Rates effective: 2026-08-01 ## Answer GPT-5.6 Luna pricing is $0.20 per million input tokens and $1.20 per million output tokens, the cheapest OpenAI tier and fractionally under GPT-5.4 nano on output. At this rate call volume decides your bill rather than the rate. Culpa, a local-first LLM cost, margin, and forecast ledger, meters every call so a cheap tier can't hide behind its price. ## Why this happens Luna and GPT-5.4 nano share an identical $0.20 input rate and differ by five cents on output, $1.20 against $1.25. At that level the choice between them isn't a cost decision at all. What matters is what happens after you pick one. A rate this low stops feeling worth instrumenting, so retry caps loosen, prompts stop getting reviewed, and the model handling your largest call count becomes the least watched line on the bill. ## What this usually looks like - A Luna-powered feature appears in your top three by spend, which nobody predicted. - Luna traffic carries no feature tag, because the rate looked too small to bother with. - Retry caps on Luna paths are looser than on frontier paths, against a far larger call count. - Nobody has ever priced the system prompt on your highest-volume surface. ## Common mistakes - Skipping attribution because the rate rounds to nothing. Why it hurts: Volume is the multiplier, and untagged spend is where an unexplained line item grows. Do instead: Tag Luna traffic exactly as you tag frontier traffic. The tag itself costs nothing. - Choosing between Luna and nano on price. Why it hurts: They share an input rate and differ by five cents on output, so cost barely separates them. Do instead: Test both on your own task, pick on output quality, then instrument whichever one ships. - Leaving a long system prompt on a cheap high-volume path. Why it hurts: At ten million calls, a thousand prompt tokens is $2,000 a month at this input rate. Do instead: Price the prompt directly: calls times tokens times $0.20 per million, then judge its length. ## Self-check - Find your monthly Luna call count. It usually sits far above your frontier count. - Multiply prompt tokens by that call count by $0.20 per million. That's your fixed prompt cost. - Check whether Luna traffic carries feature tags at all. - Compare attempts to successful results on Luna paths specifically. - Confirm the cached rate is in use. Luna carries $0.02 per million, a 90% discount. ## Ten million calls on the cheapest tier (illustrative) A classification step running 10 million calls a month, each sending 700 input tokens and returning 50 output tokens. Input: 10,000,000 x 700 = 7,000M tokens x $0.20 per million = $1,400 Output: 10,000,000 x 50 = 500M tokens x $1.20 per million = $600 Month total = $2,000 on a model everyone describes as free Trimming the prompt from 700 to 300 tokens: 3,000M x $0.20 = $600, saving $800 The same volume on GPT-5.4 = (7,000 x $2.50) + (500 x $15.00) = $17,500 + $7,500 = $25,000 $2,000 a month, and $800 of it disappears by shortening a prompt nobody has read. The tier choice already saved $23,000, and the prompt is the part still on the table. ## Cost figures Every figure carries its confidence and its source. No figure on this site is provider-reported. - $0.20 / $1.20 per million — GPT-5.6 Luna input and output rates [calculated] Source: Culpa price book row for openai/gpt-5.6-luna, $0.0002 and $0.0012 per 1k, read off the OpenAI pricing page on 2026-08-01. Pending seed into the ledger migrations. - $600 to $1,400 — modelled monthly input cost at ten million calls, trimmed prompt versus untrimmed [estimated] Source: Both endpoints from the teardown arithmetic at the real Luna input rate. A range because call volume and prompt size are modelled. ## FAQ Q: How much does GPT-5.6 Luna cost? A: $0.20 per million input tokens and $1.20 per million output, with cached input at $0.02. That makes it the cheapest OpenAI tier, fractionally under GPT-5.4 nano on the output side. Q: Luna or GPT-5.4 nano? A: They share the same $0.20 input rate and differ by five cents per million on output, so cost barely separates them. Choose on output quality for your specific task and instrument whichever one you ship. Q: Can a model this cheap really matter to my bill? A: Yes, because it usually runs at the highest call volume in the product. At ten million calls a month a seven-hundred-token prompt costs $1,400, and nobody reviews it precisely because the per-call rate looks negligible. ## Sources - OpenAI API pricing: https://developers.openai.com/api/docs/pricing Run the free Cost Leak Scan: https://app.getculpa.com/scan?source=pseo&slug=gpt-5-6-luna-pricing&cluster=model_pricing Machine-readable index of every guide: https://getculpa.com/api/pages Human-readable index of every guide: https://getculpa.com/guides Site overview: https://app.getculpa.com/llms.txt Privacy: Culpa runs on your infrastructure. Your prompts and responses never leave it. Culpa counts calls to run your plan, and it fails open, so if it ever breaks your app keeps running.