GPT-5.6 Luna API Pricing & Cost Calculator
Luna is built for scale: at $0.20/$1.20 per million list price you can route millions of classification or formatting requests without breaking the budget. Pair with 90% caching for near-zero per-token cost on repetitive workloads.
GPT-5.6 Luna is the ultra-cheap tier of OpenAI's 5.6 lineup, designed for high-volume classification, extraction, and routing tasks. It sits an order of magnitude below Sol and Terra on price.
By TechCompare · Updated
Calculator
Cost Comparison
Based on 30,000 input tokens (50% cached), 3,000 output tokens, and 1,000 requests.
How this is calculated
GPT-5.6 Luna is priced at $0.20 per million input tokens and $1.20 per million output tokens at OpenAI's published list price, with a 90% prompt caching discount ($0.02 per million cached reads). That's 10x cheaper than GPT-5.6 Terra ($2/$12) on input and 10x cheaper on output, putting it in the high-volume utility tier alongside MiniMax-M3. Note: OpenRouter currently runs a limited-time 50% discount that can show Luna at $0.10/$0.60 in live calculators.
Verdict
Luna is built for scale: at $0.20/$1.20 per million list price you can route millions of classification or formatting requests without breaking the budget. Pair with 90% caching for near-zero per-token cost on repetitive workloads.
More API Standalones scenarios
Frequently asked questions
Is GPT-5.6 Luna too cheap to be good?
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