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You can ask an AI what it costs to produce an Opus token. The answer I got was $0.216/M Token. That takes into account hardware cost, power, cooling and hosting. Others have posted links here saying inference is about 30% of Anthropic's spend, the other 70% is R&D - things like developing the next model. If you take that into account, add a profit margin, and round to make the figures easy you end up with them selling tokens at $1 / M Token to make money. Their API cost is currently $25 / M Token. There is no question that's profitable. Someone really pushing their $200/mo Max plan can use 10B Tokens per month, which works out at $0.02 / M Token, so they are eating a huge loss there. That is clearly going to go away at some stage. For the rest of us: look at your average monthly token usage. If you are using 100M Tokens a month with the Anthropic $100/mo plan, they are making money out of you. You have to be working very long hours, and be really, really proficient at using AI to achieve 10B Tokens a month. The only way to be that proficient is to have been using it for a long time, years in fact, so it was useful to you long before Opus came along. You would be very disappointed to lose Opus, of course - but you are just the sort of person who can make a less capable model sing. It's not so difficult to see those users moving to an in-house-hosted, open-source model in a few years, and it will cost them what they are paying now - $0.02 / M Token. All that means I'm not convinced by the gloom and doom vibe of the article. Things will change, but it won't mean the end of AI usage. |
Once past IPO, I suspect the 70% -> R&D must shrink, right? I mean, to keep the stock afloat long term P/E must come down right?
Public investors strike me as less willing to pour money into R&D, which is why I'm wondering about the timing of IPO in my initial question.