Is running a local LLM worth it? That’s a question I see posed quite often. Compared to the cost of an AI API subscription, buying and maintaining hardware to run an LLM locally looks like a no brainer bad decision. But AI APIs have a lot of hidden costs, and these drawbacks don’t disappear just because the API is delivering an open source model like Kimi K3. Of course, both options have a skill tax, which goes up for local LLMs, because you have to pay more attention to things like prompt construction, context and other issues. But, the same skills are required to save money on LLM API costs. But, not having to deal with a lot of headaches, especially the threat of your work being nuked if your account is canceled, is a huge benefit imo. submitted by /u/SpiritRealistic8174
Originally posted by u/SpiritRealistic8174 on r/ArtificialInteligence
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