One API vs vLLM
A side-by-side comparison of two self-hosted local llm runners options — licensing, setup difficulty, resource needs, and what each one replaces.
vLLM
High-throughput LLM serving engine with PagedAttention
| Feature | One API | vLLM |
|---|---|---|
| Deploy effort | Under-an-hour setup | Under-an-hour setup |
| Health score | 61 · Good | 100 · Excellent |
| Category | Local LLM Runners | Local LLM Runners |
| License | MIT | Apache-2.0 |
| Language | Go | Python |
| Setup difficulty | Medium | Hard |
| Min. RAM | 256 MB | 16,384 MB |
| Deployment | docker, binary | docker, kubernetes, bare-metal |
| GitHub stars | ★ 37,009 | ★ 92,565 |
| First released | 2023 | 2023 |
| Replaces | OpenAI API, OpenRouter | OpenAI API |
What are One API and vLLM?
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
vLLM
vLLM is a fast and memory-efficient inference and serving engine for large language models. Its PagedAttention algorithm delivers high throughput batching, and it exposes an OpenAI-compatible server for production deployments.
- PagedAttention memory management
- Continuous batching
- OpenAI-compatible server
- Tensor parallelism
One API vs vLLM: key differences
One API is written in Go, while vLLM is built with Python. Licensing differs — MIT for One API versus Apache-2.0 for vLLM. One API is the lighter option, starting around 256 MB of RAM against 16,384 MB for vLLM. VLLM has the considerably larger community, at 92,565 GitHub stars versus 37,009.
Why pick each one
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
Choose vLLM if…
- Excellent serving throughput
- OpenAI-compatible API
- Efficient GPU memory use
Watch out for
- GPU practically required
- Complex tuning options
Frequently asked questions
Is One API or vLLM better?
Neither is universally better. vLLM has the larger community, while One API is simpler to set up (medium difficulty). Choose based on the comparison table above and your own setup.
Are One API and vLLM free and open-source?
Yes. One API is licensed under MIT and vLLM under Apache-2.0. Both can be self-hosted at no software cost.
Can I run One API and vLLM with Docker?
One API: yes. vLLM: yes.
Which is lighter on resources, One API or vLLM?
One API has the smaller minimum footprint at 256 MB of RAM, compared to about 16,384 MB for vLLM. Real-world usage depends on library size, user count, and enabled features.