Local AI LLM vs. Crypto Mining at Home: What Actually Pays for the Electricity

Published October 3, 2026 by Aldo Giammusso

The same computer that answers your questions all day can also sit in a closet burning power to earn pennies in Bitcoin. Which one is actually worth the electricity bill?

The Question Behind the Question

Ask around the home office and hobbyist world and you hear the same two phrases: "I want to run my own AI" and "I want to mine some crypto." They sound like the same project. Both start with a computer, a power cable, and a wish that the machine will do something useful while you are not looking at it. The photo above captures the whole argument: a local LLM on the left, a mining rack on the right, and a power meter in the middle, because the meter is where the two stories actually split.

They are not the same project, and the difference shows up on your electric bill. A local large language model, or LLM, is a tool you turn on when you want to use it. A crypto miner is a machine you leave running around the clock, because it only earns while it is on. That one difference, on versus always on, is the heart of the comparison. Everything else, the noise, the heat, the coins, the privacy, hangs off of it.

This post walks through what each setup needs, what it actually costs in power, what comes back for that cost, and what the whole thing means if you are a business owner rather than a hobbyist. No fear, no hype. Just the math and an honest read of what each one is really for.

What Each One Actually Needs

A local LLM is one machine you use. To run a useful model at home you need either a graphics card with enough memory, called VRAM, or Apple silicon with a lot of unified memory, like the Mac mini sitting on the desk in the photo. It is a single device. You boot it, you ask it things, you close it when you are done. If you are weighing whether to go this route, our guide on installing a local LLM on a Mac or PC walks through the realistic options and what each one can actually handle.

A crypto miner is a dedicated appliance that never stops. Bitcoin mining runs on ASICs, purpose built chips that do exactly one thing and do it loudly, hot, and around the clock. Mining other coins typically means a rack of graphics cards, the kind of multi GPU rig on the right side of that photo. Either way, the design goal is the opposite of the LLM: keep it powered on as much as possible, because the machine only produces while it runs.

So the hardware is not even in the same category. One is a tool with a switch. The other is a furnace with a price target. That distinction matters more than the specs, because it decides how many hours a year the machine is drawing power, and the hours are what turn watts into dollars.

The Electricity Math

Power is where the two paths diverge completely, because power multiplies by time. Here is what each setup typically draws, and what that works out to over a month at an illustrative 20 cents per kWh, a reasonable ballpark for New York residential power. Your real rate varies by provider and season, so read these as a way to compare the two, not as a bill.

• A local LLM on Apple silicon (the Mac mini in the photo) draws roughly 10-100 watts, and only while you are using it. Used about four hours a day, that is on the order of $1-3 a month.
• A local LLM on a single high-end graphics card draws roughly 200-450 watts under load. A few hours of daily use lands around $5-15 a month.
• A Bitcoin ASIC draws roughly 2,000-3,500 watts and runs 24/7. That is roughly $300-480 a month before a single coin is counted.
• A multi GPU altcoin rig draws roughly 1,500-2,500 watts, also around the clock, for roughly $220-360 a month.

The pattern is the point. The LLM is a tool you switch on, so it costs single digits to low tens of dollars a month. The miner is an appliance that never sleeps, so it costs hundreds. You can plug both into the same wall and get numbers that differ by a factor of fifty.

The Costs That Do Not Show Up on the Meter

The meter only measures electricity, and it is the biggest cost, but it is not the only one. A mining rig is loud. The fans on a multi GPU rack or a high output ASIC run at a volume that pushes most people out of the house and into a garage, a basement, or a closet, which then becomes a heat problem you have to solve with more fans and, again, more power.

There is also wear. A miner runs its fans and its chips at full tilt, every hour of the year. That is a machine being asked to do what a desktop computer is not, and it shortens the life of the hardware you spent money on. The LLM does not have this problem in the same way, because you are not running it flat out for eight thousand hours a year. You use it, you stop. The electricity is the headline cost, but the noise, the heat, and the worn out hardware are the fine print.

What You Actually Get Back

This is the part most comparisons skip, and it is the part that matters. Electricity is a cost. The real question is what comes back for it.

Crypto mining pays you in coins, worth whatever the market decides. Your electricity cost is fixed. Your revenue swings with the price of whatever you are mining. Two documented shifts made home mining much harder: the April 2024 Bitcoin halving, which cut the block reward in half to 3.125 BTC, and Ethereum's 2022 move off GPU mining, which took the most common home GPU coin off the table. In a high-power-cost state like New York, the gap between what a miner burns and what it earns is thin or negative for a lot of people. We break down the current numbers in whether Apple silicon crypto mining is actually profitable and in how the Bitcoin halving lands on a business. The honest label for home mining is not an income. It is a volatile bet.

A local LLM pays you in capability, not cash. It does not deposit anything. What it gives you is a model that runs on your own hardware: your data never leaves the machine, it works with no internet connection, and you are not paying a per-token API fee every time you ask a question. The return is privacy, control, and free experimentation. That is a genuinely useful return, but it is a different animal than a miner's coins. You are paying a little electricity to own a tool, not betting a lot of electricity on a price.

One more thing worth naming: the miner's math is sensitive to your electricity rate in a way the LLM's is not. Because the miner runs 24/7, every cent per kilowatt hour hits a big number. A setup that barely breaks even in a low cost state can be clearly unprofitable in a high cost one, and New York is on the high cost side. The LLM, used a few hours a day, barely moves between a cheap and an expensive rate. So the same two machines can flip from "fine" to "bad idea" depending on where the wall is, which is a good reason to do your own meter test rather than copy someone else's numbers.

The Two Side by Side

• Duty cycle: the LLM runs when you use it; the miner runs 24/7.
• Typical draw: 10-450 watts for the LLM; 1,500-3,500 watts for the miner.
• Noise and heat: low for a Mac, moderate for one GPU; high for a miner, which needs real ventilation.
• Upfront cost: often $0 if you already own the machine, or a few thousand for a good GPU; $1,000-8,000+ for a serious ASIC.
• Ongoing cost in New York (illustrative): about $1-15 a month for the LLM; about $220-480 a month for the miner.
• What you get: a private, offline AI tool versus coins whose value you do not control.
• Main risk: a local model may be slow on big prompts; a miner may lose money the month the coin drops.

What This Means for a Small Business

Zoom out, because the audience for this question is usually a business owner, not a hobbyist. For most small businesses, the honest answer to both is no, not at home, and not as a business. You are not going to run a mining rig in the shop, and you do not need a local LLM to run your business.

If you want AI doing real work for your business, the practical path is a hosted service or an API: you pay per use, you skip the hardware, and there is no machine burning power at 3 a.m. We covered the honest version of that tradeoff in whether ChatGPT is worth it for a small business, and our website ROI calculator is a good place to start thinking about what any of this should actually return.

If you are a tinkerer who wants local AI for privacy or cost reasons, a modest setup, one good GPU or a Mac, is reasonable and cheap to run. That is a fine personal project. What we would push back on is framing mining as a small business income. In a state with New York's electricity prices, a 24/7 miner is a hard sell, and it is the one of the two that will show up on your bill whether you are using it or not.

How to Measure It Yourself

You do not have to take our word for any of these numbers, and you should not. The cheapest way to find out what any machine actually costs is a plug in power meter, the small device in the middle of the photo, which sits between the wall and the machine and tells you how many watt hours it has used. Put it on whatever you are considering, leave it for a week, and do the thing you actually do with it. Use the LLM the way you would. Let the miner run the way it would.

Then do the multiplication the meter is doing for you. Watts times hours gives you watt hours, and a thousand watt hours is one kilowatt hour, the unit your utility bills by. Divide by a thousand, multiply by your rate per kilowatt hour, and you have the real monthly number for your wall at your rate. That one measurement, done honestly, settles the argument faster than any article, including this one.

The Bottom Line

Both plug into the same wall, but they are not the same thing. A local LLM is a tool you pay a little to use, and it hands you something you actually use every day. A crypto miner is a 24/7 appliance betting on a volatile price, and it shows up on your bill whether it is winning or losing. If your goal is to get work done, the LLM wins on cost and gives you something useful. If your goal is income, home mining in New York is a hard sell. Whichever you lean toward, put a meter on it for a week before you commit. The number on that meter is the whole argument.

Frequently Asked Questions

Does running a local AI LLM use a lot of electricity?

Only while it is on. A local LLM on Apple silicon or a single graphics card draws roughly 10-450 watts, and only when you are using it. Used a few hours a day, that works out to single digits to low tens of dollars a month at typical New York rates. It is a tool you turn on, not a machine that runs all night.

How much electricity does a home crypto miner use?

A lot, because it runs 24/7. A Bitcoin ASIC draws roughly 2,000-3,500 watts and a multi GPU rig draws 1,500-2,500 watts, around the clock. At an illustrative 20 cents per kWh, that works out to roughly $220-480 a month before you count a single coin.

Is crypto mining still profitable at home?

For most people in high electricity cost areas like New York, it is a hard sell. The April 2024 Bitcoin halving cut the block reward in half, and Ethereum stopped being mineable on GPUs in 2022. Your electricity cost is fixed while your coin revenue swings with the market, so margins are thin or negative for many home miners.

What do I actually get from a local LLM if it does not pay me?

A capability, not a paycheck. Your data stays on your machine, it works offline, and you avoid per token API fees. The value is privacy, control, and free experimentation, which is a different kind of return than a miner's coins.

Should a small business run a local LLM or mine crypto?

Usually neither, at home. If you want AI, a hosted service or an API is the practical path: you pay per use and skip the hardware and the 24/7 power draw. If you want to experiment with local AI for privacy or cost, a modest setup is cheap to run. Mining as a business income is a volatile bet that is very hard to make work in a high power cost state.