[declaredapple]

Yeah the output pricing I think is really interesting, 150% more expensive input tokens 250% more expensive output tokens, I wonder what's behind that?

That suggests the inference time is more expensive then the memory needed to load it in the first place I guess?

[flawn]

Either something like that or just because the model's output is basically the best you can get and they utilize their market position.

Probably that and what you mentioned.

[brookst]

This. Price is set by value delivered and what the market will pay for whatever capacity they have; it’s not a cost + X% market.

[declaredapple]

I'm more curious about the input/output token discrepancy

Their pricing suggests that either output tokens are more expensive for some technical reason, or they're trying to encourage a specific type of usage pattern, etc.

[brookst]

Or that market research showed a higher price for input tokens would drive customers away, while a lower price for output tokens would leave money on the table.

[BeetleB]

> 150% more expensive input tokens 250% more expensive output tokens, I wonder what's behind that?

Nitpick: It's 50% and 150% more respectively.