Yes — running Ollama on your own computer is free, with no account, no trial, and no monthly fee. It’s open-source software (MIT-licensed), the models it downloads are open-weight, and nothing about local inference costs money beyond the electricity your PC was going to draw anyway. The confusion that sends people searching “is Ollama free” is newer: in late 2025 Ollama added a paid hosted option called Ollama Cloud, which runs giant models on Ollama’s own servers for a subscription fee. So both things are true at once — the tool is free, and there’s a separate paid product that shares the name. This page draws the line precisely: what’s free forever, what Ollama Cloud actually costs, and how to tell which one you’re using.
The short answer: local Ollama is free forever; only Ollama Cloud is paid
Here is the whole thing in one table:
| What you’re using | Cost | What it is |
|---|---|---|
| Ollama on your machine | Free | The runtime + CLI you install and run locally |
| Open-weight models (Llama, Qwen, Gemma, Mistral, etc.) | Free | Downloaded once, run offline forever |
| Ollama Cloud | Paid (subscription) | Models that run on Ollama’s servers, not yours |
When you install Ollama and run ollama run qwen3, you pay nothing. You don’t create an account to do it. There’s no usage meter, no token billing, no “10 free messages then upgrade.” The model lives on your disk and runs on your hardware. You can pull the network cable and keep chatting. That’s the version almost everyone means when they ask if Ollama is free, and the answer is an unqualified yes.
The only paid thing wearing the Ollama name is Ollama Cloud, an opt-in service for running models too large to fit on a normal computer. You have to deliberately sign up and invoke it. If you never do, you never pay. More on it below.
What “free” covers: the runtime, the CLI, and open-weight models
“Free” here isn’t a freemium teaser — three genuinely separate things are all free, and they’re what 99% of users touch:
- The runtime + local server. Ollama is the engine that loads a model into memory and serves responses at
http://127.0.0.1:11434— a loopback address, meaning the traffic physically can’t leave your machine. The whole engine is open-source under the MIT license. No paid tier of the software exists. - The CLI. Every command —
ollama run,ollama pull,ollama list,ollama serve— is free. So is the local API other apps talk to. Front-ends like Open WebUI, SillyTavern, and companion apps plug into that free local endpoint at no cost. - Open-weight models. This is the part people underestimate. The models Ollama downloads — Llama, Qwen, Gemma, Mistral, DeepSeek, Phi and dozens more — are open-weight: the publishers release the trained weights for anyone to download and run. You pull them once (a few GB each) and they’re yours offline, forever, with no per-message charge. Compare that to a cloud chatbot, where you rent access by the message or the month and own nothing.
That last point is the real economic story. With Ollama you’re not buying a subscription to someone else’s model running on their servers — you’re downloading a model and running it on hardware you already own. For the full walkthrough of getting set up, see how to install Ollama; for the bigger picture of whether the local route fits you, is local AI worth it? lays out the trade-offs honestly.
The only real cost of running locally: electricity
If local Ollama is free, where’s the catch? It’s small and it’s physical: electricity. Running a model loads it into VRAM and pushes your GPU (or CPU) while it generates each response. That draws power — exactly like playing a demanding game or rendering video.
Real numbers, kept honest. A mid-range GPU like an RTX 3060 draws on the order of ~170 W under full load; a high-end card like a 3090 or 4090 can pull 300–450 W. But a model only draws that peak while it’s actively generating tokens — typically a few seconds per reply — then drops back to near-idle. In practice, a few hours of daily chatting adds cents to a few dimes a day to your bill, not dollars. Apple Silicon Macs are even gentler: an M-series chip running a 7B–14B model often draws well under 100 W. There’s also the one-time hardware cost if you don’t already own a capable machine — but that’s a purchase, not a recurring fee, and our local AI hardware guide covers what’s actually required (often less VRAM than people fear).
The honest framing: local AI trades a predictable monthly subscription for a one-time hardware investment plus negligible electricity. Run it a lot and it’s dramatically cheaper than any cloud plan over a year. Run it occasionally and the math is even more lopsided in your favor. Either way, there’s no meter ticking on your conversations.
What Ollama Cloud is — and who actually needs it
Ollama Cloud is the paid product, introduced as a preview in late 2025. The idea is legitimate: some models are simply too big for consumer hardware. A 235B-parameter model needs datacenter-grade GPUs no home machine has. Cloud lets you run those very large models through the familiar Ollama interface, with the actual computation happening on Ollama’s servers instead of yours. It’s billed as a subscription (Ollama has offered an individual plan in the roughly ~$20/month range, alongside usage-based and higher tiers — check ollama.com for current pricing, as these are new and have been changing).
Here’s the critical distinction most people miss: the moment you use Ollama Cloud, your prompts leave your machine. They travel to Ollama’s servers to be processed. That’s the entire opposite of local Ollama’s privacy guarantee. For a casual user that may be fine; for anyone running a private journal, a confidential workflow, or a companion they’d never paste into a cloud chatbot, it’s a meaningful line to cross — and Ollama is upfront that cloud requests are processed remotely. We cover the privacy mechanics in detail in is Ollama really private?.
Who actually needs Cloud? A narrow group: people who want to run frontier-size open models (well beyond ~70B) but don’t own — and don’t want to buy or rent — datacenter hardware. For the overwhelming majority running 7B–32B models on a normal GPU, Ollama Cloud is irrelevant. You can ignore it entirely and lose nothing.
How the confusion started — and how to tell which you’re using
The “is Ollama really free?” question spiked precisely because Cloud launched. For years, “Ollama” meant one thing: free, local, private. Then a paid hosted service arrived under the same brand, and suddenly the answer needed an asterisk. The two products even share commands, which is where people trip.
The tell is the model name. A local model and its cloud counterpart can differ by a single suffix:
ollama run qwen3:235b # could run locally — if you have the hardware
ollama run qwen3:235b-cloud # the -cloud suffix = runs on Ollama's serversHow to know for certain you’re 100% local and paying nothing:
- No account, no card. If you never signed in or entered payment details, you are not on a paid plan. Cloud requires signing up.
- No
-cloudsuffix. Runollama listto see your installed models. Plain names (llama3.1,qwen3,gemma3) are local files on your disk. - It works offline. Disconnect from the internet. If the model still answers, it’s running locally — a cloud model would fail without a connection. This is the definitive test.
For a cleaner mental model of local-vs-hosted in general, local AI vs cloud AI breaks down the privacy, cost, and control differences side by side.
Free engine, polished experience: where a buy-once companion fits on top
Once you understand that Ollama is a free local engine, a useful pattern emerges. The runtime is free; what people often want is a finished experience sitting on top of it — a clean interface, a persistent personality and memory, voice, and no command line. You don’t have to choose between “free but fiddly” and “polished but rented monthly.”
That’s the niche a buy-once companion app fills: it uses your free local Ollama as the brain, so your conversations stay on your machine, but wraps it in a real product you pay for once instead of subscribing forever. You keep Ollama’s free-and-private foundation and skip the assembly. It’s a different model from cloud companions, which charge monthly and run your chats on their servers.
Bottom line for a newcomer deciding what to install
If you’re standing at the start line: install Ollama, pull an open-weight model, and run it. It’s free, no account, no subscription, no catch beyond a few cents of electricity. Ignore Ollama Cloud unless you specifically need to run models far too large for any home machine — and know that using it sends your prompts off your computer.
The free local version is the foundation the entire local-AI world is built on. Set it up, then decide whether you want to live in the terminal or sit a polished, pay-once experience on top of it.
If you’d rather have that local-and-private engine wrapped in a finished companion you own outright — set up once, no monthly bill, your chats never leaving your machine — Ember is built to run on exactly the free Ollama setup described here.