The move
OpenAI reduced the price of its Luna (smallest) GPT-5.6 tier by 80%, cutting the input price per million tokens from $1 to $0.20.
The SPP read
A year after cutting its reasoning model by the same fraction, OpenAI cut its smallest tier by 80% and its mid tier by 20%, and attributed the room to efficiency gains that include the model optimising its own serving code. The shape matters more than the discount: cuts this deep, landing at the bottom of the ladder first, compress the entry price of the surface while the top rungs hold. That widens the ladder without repricing it, and it prices exploration cheaply enough that the small tier becomes the default on-ramp. And when a vendor explains a cut by saying the product now lowers its own serving cost, the price at that rung has stopped being a decision and started tracking cost. A price that tracks falling cost keeps falling, and nobody defends a price they did not choose.