Ollama — An open-source tool for running large language models locally, with an optional paid cloud tier for bigger models and higher usage.
By Noahlast updated pricing verified
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Best for: developers who want to run open-weight LLMs locally for privacy, offline use, or air-gapped applications, with optional cloud access for models too large to run on local hardware
Pricing: Free local runtime; Pro cloud tier is $20/month, Team is $25/seat/month (5-seat minimum), Enterprise is custom.
- Ollama's core local runtime is free and open source under the MIT license.
- Ollama Pro cloud tier is $20/month or $200/year for larger cloud models and 3 concurrent model runs.
- Ollama Team plan is $25/seat/month with a 5-seat minimum.
- Ollama has over 179,000 stars on GitHub.
Limitations: Local model performance is bounded by the user's own hardware, particularly available RAM or GPU VRAM.; The Max cloud plan is currently paused for new signups while capacity is added.
Top alternatives: LM Studio, Jan, GPT4All — full list
What is Ollama?
Ollama is a tool for running large language models on your own computer: it packages model download, quantization, and a local inference server behind a simple CLI (ollama run llama3) and REST API, so applications can call a local model the same way they'd call a hosted API.
The core software is open source under the MIT license (github.com/ollama/ollama), free to download and run entirely offline once a model is pulled, with no telemetry sent from local inference. On top of the free local tool, Ollama sells an optional cloud tier: Pro and Max plans give access to larger models than most local hardware can run, with usage limits that reset on 5-hour session and 7-day weekly cycles, and a Team plan adds shared billing with zero data retention for organizations. This makes Ollama an open-core product: the local runtime is free and open source, while cloud model access and team features are a separate paid layer.
Ollama is an MIT-licensed, open-source tool that downloads and runs open-weight large language models (Qwen, DeepSeek, Llama, Gemma, and others) locally via a CLI, REST API, and desktop app, keeping data on-device and out of any training pipeline. The Free plan covers local model execution plus limited access to Ollama's cloud models; Pro is $20/month (or $200/year) for larger cloud models, up to 3 concurrent cloud models, and roughly 50x the free usage; Max is $100/month for 10 concurrent models (currently paused for new signups while capacity is added); and Team is $25/seat/month with a 5-seat minimum for shared billing and zero data retention. Ollama targets developers who want to run models offline for privacy or air-gapped use cases, with an optional cloud tier for workloads that exceed local hardware, integrating with 40,000+ community tools and editors.
Standout feature: Local inference stays entirely on-device by default with no telemetry, and the same CLI/API surface extends to paid cloud models when a task needs more compute than local hardware provides.
Biggest weakness: Local model quality and speed are bounded by the user's own hardware (RAM, GPU/VRAM), so running larger models still requires either capable hardware or upgrading to the paid cloud tier, and Max plan signups are currently paused while Ollama adds capacity.
Pros
- Core local runtime is free, open source (MIT), and requires no account to run models offline.
- No telemetry from local inference; data never leaves the device unless a cloud model is explicitly used.
- Simple CLI and REST API make it easy to integrate into existing developer tools and 40,000+ community integrations.
- Cloud tier extends the same interface to larger models when local hardware isn't enough.
Cons
- Local performance depends entirely on the user's own hardware; larger models need significant RAM or GPU VRAM to run well.
- Max plan ($100/month) is currently paused for new signups while Ollama adds capacity.
- Cloud usage limits reset on 5-hour and 7-day cycles, which can be restrictive for bursty workloads compared to flat monthly quotas.
- Team plan has a 5-seat minimum ($125/month), which is a meaningful jump for very small teams.
Ollama pricing
Free tier · paid from $20/mo · verified from the vendor's pricing page
| Plan | Price | Notes |
|---|---|---|
| Free | Free | Run open models locally with full data privacy, CLI/API/desktop app access, 40,000+ community integrations, plus limited access to cloud models. |
| Pro | $20/mo | $20/month or $200/year billed annually; access to larger cloud models, up to 3 concurrent cloud models, about 50x more cloud usage than Free, private model upload/sharing. |
| Max | $100/mo | Currently paused for new signups while capacity is added; 10 concurrent cloud models, about 5x more usage than Pro. |
| Team | $25/mo | Per seat, 5-seat minimum ($125/month minimum); introductory pricing. Shared billing, zero data retention, priority support, high-performance deployment across US and Europe. |
| Enterprise | Custom | Custom pricing; volume discounts, security/procurement support, custom terms for larger organizations. |
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