alt Hacker News> The cost to serve tokens is absolutely profitable today and that’s been true for at least a year.
> For the data center build outs, demand for tokens is still exceeding supply.
Can you provide any numbers for this?
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Check the token prices for open weight LLMs at various independent inference providers.
That gives you a very good estimate of "how much can you serve the tokens of a model of the size N for while making a profit".
Now, keep in mind: Kimi K2.5 is 1T MoE. Today's frontier LLMs are in the 1T to 5T range, also MoE. Make an estimate. Compare that estimate with the actual frontier lab prices.
Most/all private labs have cited inference is profitable. This was happening before the large push to scrap plans and largely charge folks the underlying api rates. Second take a look at the pricing of open models. Now certainly it’s not direct 1-1 comparison but we can use it as a baseline. Now of course folks might not be telling the truth but one of those situations where I see too many markers on the true side.
For supply look at outages and growth rates at companies like openrouter. The demand is growing every week.
Anthropic has said inference is profitable. That’s a biased source, but the math pencils.
This is why switching to local open weight models saves a lot of money. (Even though it’s not apples to apples.)
I can get Kimi K2.5 inference on openrouter for about $0.5/MTok input + $2.5/MTok output, from six providers that have no moat besides efficiently selling GPU time. We can assume they are doing so at a profit (they have no incentive to do this at a loss), giving us those numbers as the cost to serve a 1T-a32b model at scale.
Now we don't know the true size of any of the proprietary models, but my educated guess is that Sonnet is in about the same parameter range, just with better training and much better fine tuning and RLHF. Yet API pricing for Sonnet is $3/MTok input + $15/MTok output, exactly six times as expensive. Even Haiku is twice as expensive as Kimi K2.5.
I find it difficult to believe in a world where those API prices aren't profitable. For subscription pricing it's harder to tell. We hear about those that get insane value out of their subscription, but there has to be a large mass who never reaches their limits. With company-wide rollouts there might even be a lot of subscription users who consume virtually no tokens at all.