Good for / not for
- Technical users comfortable with a terminal who want free, private inference on hardware they already own.
- Anyone who wants an OpenAI-compatible API running locally, so existing code can call a local model instead of a hosted one.
- People who care about the licence: Ollama is MIT, at 180,325 GitHub stars, with v0.34.0 released on 5 September 2026.
- Running models with nothing to pay — local use is unlimited, and none of the 2026 cloud plans are required to use it.
- Non-technical users who want a graphical interface. That is the job LM Studio is built for.
- High-concurrency serving: requests are handled one at a time, and the cloud plans that publish a figure cap concurrency at three (Pro) or ten (Max).
- Image generation, which a 2026 review lists among the things Ollama does not do.
What it actually does
Ollama is a runner. You install it, ask it for a model by name, and it fetches the weights and answers on your machine rather than sending anything to a cloud service. It also exposes an OpenAI-compatible API, which is the reason it turns up as the engine underneath so much else: point code that already speaks that API at your own computer and it works. Local use is free and unlimited, bounded by your hardware rather than by a plan. In 2026 Ollama added a hosted cloud layer on top, and that part is metered. The cloud free tier allows one concurrent request and basic models, with starter credits. Pro is $20 a month, or $200 a year, for $60 of monthly usage credits and three concurrent requests. Max is $100 a month for $300 of credits, ten concurrent requests and early model access. A Team plan is listed at $500 a month in early access, with unlimited users and $1,000 of shared monthly credits, and Enterprise is quoted. None of that is required to run Ollama locally. What you trade for all this is interface: this is a command-line tool, and reviewers who like it still flag serialised requests and fiddly VRAM management.
Install Ollama and run a model on your own machine.
Nothing to pay, and no cap: local use is unlimited. The cloud service is a separate product — its free tier is one concurrent request and basic models.
From the vendor's docsPricing and free-plan limits
Free tier: The local app is free and unlimited on your own hardware. The cloud free tier is separate: one concurrent request, basic models and starter credits.
| Plan | Price | What you get |
|---|---|---|
| Free | Free |
Limits: Cloud free tier: 1 concurrent request · Cloud free tier: basic models only The $0 tier is the whole local product. Only the cloud side is metered. |
| Pro | $20/month |
$20 a month, or $200 a year. |
| Max | $100/month |
|
| Team | $500/month |
Listed as early access. |
| Enterprise | Custom pricing |
No figure is published. |
Prices checked on Sep 6, 2026 against the vendor's pricing page. Plans change often — confirm before you pay.
Three honest limitations
- A 2026 review names three gaps together: requests are handled one at a time, VRAM management is fiddly, and there is no image generation.
- A maintainer question about commercial licensing and telemetry has been open on Ollama's own tracker, unanswered, since December 2024.
- There is no graphical interface. Everything happens at the command line, which is why anyone who will not open a terminal is pointed at LM Studio instead.
Alternatives
- LM Studio — Choose LM Studio instead if you would rather click than type — same job, as a desktop app, free for personal and internal business use.
- Jan — Choose Jan instead if you want a desktop app that is open source and has no paid tier at all, not even a cloud one.
- Open WebUI — Choose Open WebUI instead if what you want is a multi-user, ChatGPT-style web interface rather than a runner — it still needs a model from somewhere.
Getting started in 5 minutes
- Install Ollama from ollama.com. Local use is free and unlimited, and none of the cloud plans are involved.
- Run one model from the terminal and confirm it answers before you wire anything else to it.
- Use the OpenAI-compatible API when you want existing code to call the local model instead of a hosted one.
- If you want a window rather than a terminal, the front ends in this category — Open WebUI and AnythingLLM — are built to sit on top of a model you supply.
- Only look at the cloud plans if you need someone else's hardware: the free tier is one concurrent request, and Pro at $20 a month buys $60 of monthly credits and three concurrent requests.
Ollama questions
- Is Ollama free?
- Locally, yes, and without limits — the app is MIT-licensed and running models on your own machine costs nothing beyond the machine. The cloud service Ollama added in 2026 is a separate, metered product: its free tier is one concurrent request and basic models, and Pro starts at $20 a month, or $200 a year.
- Does Ollama send my data anywhere?
- A 2026 local-AI privacy audit found no telemetry on local inference. The caveat worth knowing is that a maintainer question about commercial licensing and telemetry has sat unanswered on Ollama's tracker since December 2024. The cloud plans are a different matter by definition: those run on Ollama's hardware.
- Ollama or LM Studio?
- The difference is the interface, not the capability. Ollama is the command line; LM Studio is the point-and-click app. Both run models on your own machine for free. Take Ollama if a terminal is comfortable and you want a local API to build against, and LM Studio if you would rather click.
- What can it not do?
- A 2026 review of Ollama names three things: requests are serialised rather than handled in parallel, VRAM management is fiddly, and there is no image generation. Separately, it ships no graphical interface of its own.
- Is the project still active?
- 180,325 GitHub stars, last pushed on 5 September 2026, with v0.34.0 released the same day.
Sources
- Ollama pricing (Free, Pro $20/month or $200/year, Max $100/month, Team $500/month, Enterprise custom)
- GitHub repository (MIT, 180,325 stars, v0.34.0 on 2026-09-05)
- Ollama review (serialised requests, VRAM management, no image generation)
- Open maintainer question on commercial licensing and telemetry, unanswered since December 2024
- Local AI privacy audit (no telemetry found on local inference)
- Source code: MIT
Research-compiled, not hands-on tested. Compiled from official docs, the vendor's pricing page and community reviews as of Sep 6, 2026. We haven't tested it hands-on yet.