Ollama vs One API
A side-by-side comparison of two self-hosted local llm runners options — licensing, setup difficulty, resource needs, and what each one replaces.
| Feature | Ollama | One API |
|---|---|---|
| Deploy effort | ≈5-minute setup | Under-an-hour setup |
| Health score | 100 · Excellent | 61 · Good |
| Category | Local LLM Runners | Local LLM Runners |
| License | MIT | MIT |
| Language | Go | Go |
| Setup difficulty | Easy | Medium |
| Min. RAM | 8,192 MB | 256 MB |
| Deployment | docker, binary, bare-metal | docker, binary |
| GitHub stars | ★ 181,557 | ★ 37,009 |
| First released | 2023 | 2023 |
| Replaces | ChatGPT, OpenAI API | OpenAI API, OpenRouter |
What are Ollama and One API?
Ollama
Ollama lets you download, run, and manage open large language models such as Llama, Mistral, Gemma, and Qwen on your own machine. It provides a simple command line interface and a built-in REST API so other tools can use local models.
- One-command model downloads
- OpenAI-compatible API
- GPU and CPU support
- Modelfile customization
One API
One API is an LLM API management and distribution system that exposes a single OpenAI-compatible endpoint while routing to many upstream providers. It adds key management, channel load balancing, usage tracking and multi-user billing.
- Unified OpenAI-compatible API
- Channel load balancing
- Token and quota management
- Multi-user support
Ollama vs One API: key differences
Both projects are written in Go. One API is the lighter option, starting around 256 MB of RAM against 8,192 MB for Ollama. Ollama has the considerably larger community, at 181,557 GitHub stars versus 37,009.
Why pick each one
Choose Ollama if…
- Extremely easy to set up
- Large model library
Watch out for
- Limited fine-grained inference tuning
Choose One API if…
- Single OpenAI-compatible endpoint
- Built-in usage billing
- Easy Docker deployment
Watch out for
- Documentation mostly Chinese
- Scaling needs external database
Frequently asked questions
Is Ollama or One API better?
Ollama is the stronger all-round pick: it has both the larger community and the simpler easy setup. Consider One API if its specific feature set fits your needs better.
Are Ollama and One API free and open-source?
Yes. Ollama is licensed under MIT and One API under MIT. Both can be self-hosted at no software cost.
Can I run Ollama and One API with Docker?
Ollama: yes. One API: yes.
Which is lighter on resources, Ollama or One API?
One API has the smaller minimum footprint at 256 MB of RAM, compared to about 8,192 MB for Ollama. Real-world usage depends on library size, user count, and enabled features.