A pricing table is useful.
It is also easy to overread.
When a new model family arrives with clearer tiers, faster options, and lower-cost paths, the first instinct is to compare input and output prices. That makes sense. Founders need to know whether a feature can survive real usage.
But the price per million tokens is only the first layer of AI cost.
The real product cost usually appears one step later:







