Is running local LLMs actually cheaper in the long run?

Reddit r/LocalLLaMA / 4/22/2026

💬 OpinionDeveloper Stack & InfrastructureTools & Practical Usage

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Key Points

A Reddit user asks whether running local LLMs becomes cheaper in the long run or if GPU, setup, and time costs accumulate faster than expected.
The discussion centers on real-world cost drivers for local inference, including hardware expenses and the ongoing “hidden” costs of experimentation and maintenance.
The thread implicitly compares the total cost of ownership of self-hosting versus alternative approaches, but does not present a single definitive conclusion in the provided excerpt.
The question targets people already experimenting with local LLM workflows and seeks longer-term guidance for planning compute budgets.

Been experimenting with running models locally recently.

But honestly, it feels like costs (GPU, time, setup) add up faster than I expected.

For those who run things longer term — does it actually get cheaper over time, or not really?