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You may not like this sources, but both the tomato throwers to the green visor crowds agree they are losing money. How and when they make up the difference is up to speculation

https://www.wheresyoured.at/why-everybody-is-losing-money-on... https://www.economist.com/business/2025/12/29/openai-faces-a... https://finance.yahoo.com/news/openais-own-forecast-predicts...

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The comment was with reference to inference, not total P&L.

Of course they are losing money in total. They are not, however, losing money per marginal token.

It’s trivial to see this by looking at the market clearing price of advanced open source models and comparing to the inference prices charged by OpenAI.

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> green visor crowds

??

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Maybe on the API, but I highly doubt that the coding agent subscription plans are profitable at the moment.
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Build out distribution first and generate network effects.
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For sure not
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Could you substantiate that? That take into account training and staffing costs?
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The parent specifically said inference, which does not include training and staffing costs.
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But those aren't things you can really separate for proprietary models. Keeping inference running also requires staff, not just for the R&D.
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That is the big question. Got reliable data on that?

(My gut feeling tells me Claude Code is currently underpriced with regards to inference costs. But that's just a gut feeling...)

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https://www.wheresyoured.at/costs/

Their AWS spend being higher than their revenue might hint at the same.

Nobody has reliable data, I think it's fair to assume that even Anthropic is doing voodoo math to sleep at night.

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> If we subtract the cost of compute from revenue to calculate the gross margin (on an accounting basis),2 it seems to be about 50% — lower than the norm for software companies (where 60-80% is typical) but still higher than many industries.

https://epoch.ai/gradient-updates/can-ai-companies-become-pr...

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The context of that quote is OpenAI as a whole.
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