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@Xavier@infosec.exchange

2026-08-04 12:36 UTC

@berkes@mastodon.nl I'm sorry, what's your point? I'm building great software and my family has a private AI assistant. And my investment was only $1200 for the 3090 and about $30/day in electricity, which only went up about $2-5 when I upgraded my video card. Home LLMs aren't free, but its not the doomsday scenario you painted.

Replies (1)

  • @berkes@mastodon.nl 2026-08-05 12:00

    @Xavier@infosec.exchange My point is twofold. But certainly not to tell you that you're doing it wrong, which is the feeling I get from your reply. Sorry if that came across. First, a hosted LLM, purely financially, is cheaper than the equivalent ran by yourself. Reversed: running your own models will be more expensive for the foreseeable future than renting/pay-per-use-ing it. Second, the quality of self hosted may very well be "good enough", which is all you need. But it isn't the quality of what you get from hosted versions. Where quality *only* looks at output an omits vectors such as privacy or freedom. Reasons, as stated earlier, are that the usage of hosted LLMs is heavily subsidized by venture capital. No such subsidies exist when self-hosting. And in hosting in general, but this area in particular, has a very strong "economy of scale" discount. Open weight models are quite good and improving (and may be "good enough"), but nowhere near the quality performance of top tier models like Opus. Esp in areas that take large context windows or that benefit from strong reasoning, tool usage, etc., the hosted versions are noticably "better". Or, in short: while it may work for you, and be economically viable for your use-case, it is almost always cheaper and with better quality, to pay for llm usage. Even if that's hosted open-weight models like those from mistral.

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