Ollama
AI ToolsA tool for downloading and running open large language models on your own computer or server, with a local REST API.
Open-source alternative to:
What the free edition leaves out
We have not been able to confirm enough from official sources to give a verdict. “Not confirmed” means the official pages we read did not say, so we do not guess.
| Feature | Free edition | Details | Source |
|---|---|---|---|
| SSO / SAML | Not confirmed | Not mentioned on the pages read. | Source ↗ |
| Role-based access control | Not confirmed | The pricing page lists model access controls and cost budgets for users and API keys on the Enterprise plan, which is for the cloud service. Local server roles are not described. | Source ↗ |
| Audit logs | Not confirmed | Not mentioned on the pages read. | Source ↗ |
| Multi-user / teams | Not confirmed | The FAQ describes request queueing and parallel requests on one server but no user accounts. The Team plan has multiple users for the cloud service. | Source ↗ |
| Backups and restore | Not confirmed | The FAQ gives model storage locations but no backup guidance. | Source ↗ |
| API access | Free | The local server exposes a REST API on 127.0.0.1:11434 by default, with Python and JavaScript libraries. The pricing page says running models on your own hardware is always unlimited. | Source ↗ |
| Support SLA | Not confirmed | Priority support is listed on the Team cloud plan and a dedicated Slack channel on Enterprise; support for the local app is not described. | Source ↗ |
Best for
Developers and small teams who want to run open language models locally or on their own server and call them through a simple API.
Why choose it over OpenAI API
The app is MIT licensed and the pricing page says running models on your own hardware is always unlimited, so there is no per-token charge for local use and prompts stay on your machine. It installs on macOS, Linux and Windows or runs from an official Docker image. A local REST API and official Python and JavaScript libraries make it easy to wire into other tools.
Where it falls short
You need hardware that fits the model you pick, and results depend on the open model rather than on Ollama. Each model has its own license, which can restrict commercial use, so check the model page before building on it. By default each model handles one request at a time, so many users need tuning. Cloud models need an account and are billed by usage.
Open-source alternative to
- OpenAI API — Ollama can be used in place of a hosted LLM API when you want to run open models on your own hardware, with a local API on port 11434.
Category
AI ToolsTopics
Tech stack
Go
C
TypeScript
DockerLanguages as reported by GitHub for the repository.
