gpt-5.6 pricing: what luna's 5x cut does to cost-to-serve
openai's new gpt-5.6 luna tier costs 5x less than sol. here is what that spread does to your ai feature's cost-to-serve before the next finance review.
gpt-5.6 pricing and cost-to-serve. cost-to-serve is what one user costs you every time they touch your ai feature. gpt-5.6's three tiers let you split those calls, so the cheap ones stop paying flagship prices. this is a product owner's read on the bill, not an engineer's read on the model.
on june 26, 2026, OpenAI shipped the gpt-5.6 family: sol, terra, and luna. luna runs at $1 in / $6 out per 1m tokens. sol runs at $5 / $30. that is a 5x spread on the same product surface, reported by finout.
if you lead product at a series b saas with a customer-facing ai feature, that spread is your next finance review. the question is not which model is smartest. the question is which calls actually need sol, and which have been quietly overpaying for it.
what is gpt-5.6's luna tier actually for?
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