# vLLM: Free Open Source Alternative to Fireworks AI, Together AI

Canonical: https://caniforkit.com/fork/vllm
Last updated: 2026-11-07

vLLM (Open Source, Open Source) replaces Fireworks AI, Together AI. Inference and serving engine for large language models, built for speed and hardware efficiency with an OpenAI-compatible API and support for a wide range of open models.

## Tool Specifications
- **Tool Name**: vLLM
- **Type**: Open Source Project
- **License**: Open Source
- **Official Website**: https://vllm.ai/
- **GitHub Repository**: https://github.com/vllm-project/vllm
- **GitHub Stars**: ★ 96.5k
- **Runs On**: Self-host
- **Maintenance Status**: nov 2026
- **Platforms**: web, self-hosted, docker to self-host
- **Data Storage**: All application data and configuration live on your own server or local database.
- **Installation**: Clone https://github.com/vllm-project/vllm or deploy with Docker Compose
- **Setup Requirements**: Deploy via Docker or binary release from GitHub and configure environment variables.
- **The Catch / Limitation**: Requires self-hosting setup, updates, and server maintenance compared to managed Fireworks AI.

## Paid SaaS Applications Replaced (2)
Replacing these paid tools with vLLM saves up to $50/mo ($600/yr) in software subscriptions:

| Replaced Software | Category | SaaS Price | Comparison Guide |
| --- | --- | --- | --- |
| [Fireworks AI](https://caniforkit.com/fireworks-ai) | [dev tools](https://caniforkit.com/category/dev-tools) | $25/mo | [Compare Fireworks AI vs vLLM](https://caniforkit.com/vs/fireworks-ai-vs-vllm) |
| [Together AI](https://caniforkit.com/together-ai) | [dev tools](https://caniforkit.com/category/dev-tools) | $25/mo | [Compare Together AI vs vLLM](https://caniforkit.com/vs/together-ai-vs-vllm) |

## Frequently Asked Questions

### Is vLLM free and open source?
vLLM is an open source tool licensed under Open Source that runs on self-host. Inference and serving engine for large language models, built for speed and hardware efficiency with an OpenAI-compatible API and support for a wide range of open models.

### What is the trade-off or limitation of using vLLM?
Requires self-hosting setup, updates, and server maintenance compared to managed Fireworks AI.

## Related

- [Self-Hosted Open Source Directory](https://caniforkit.com/self-hosted)
- [All Paid SaaS Alternatives Index](https://caniforkit.com/alternatives)
- [Software Categories Directory](https://caniforkit.com/categories)
- [Homepage](https://caniforkit.com)