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> If you get close in output quality, then does that matter?

When you're trying to estimate/infer the costs of serving the tokens and even include the cost of training the weights in order to output tokens then yeah, why wouldn't that matter?

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That only matters if you are an investor not if you are a consumer.
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Well, or if you're participating in a discussion on HN where the sub-topic happens to be "if labs are subsidising tokens on API pricing" and literally the cost of serving the tokens is relevant to the sub-topic people are trying to discuss...
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Consumers want better models too, of course it matters
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> Which is by far the most interesting number of the two.

Only if you don't have to continuously train new models, and you are not at a runway risk.

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