head to head · open source

vllm vs GPT4All

vllm has 96,158 GitHub stars, 24,317 forks, 7,953 open issues and last shipped yesterday. GPT4All has 77,347 stars, 8,261 forks, 771 open issues and last shipped 1.4 years ago. vllm leads on adoption by 24% (96,158 vs 77,347 stars). vllm is written in Python under Apache-2.0; GPT4All is written in C++ under MIT. vllm has attracted 25% as many forks as stars, GPT4All 11%. vllm was the more recently maintained of the two, and both are self-hostable with no licence fee.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

vllm ★ 96K GPT4All ★ 77K category AI & Machine Learning

← all 20902 open source comparisons

Side by side

vllm GPT4All
GitHub stars ★ 96K ★ 77K
License Apache-2.0 MIT
Written in Python C++
Last push 2026-11-02 2025-05-27
Forks ⑂ 24K ⑂ 8.3K
Self-hosting Yes Yes
Data ownership Your server Your server

pick vllm if

  • You weight community size — 96K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full vllm profile →

pick GPT4All if

  • You want the GPT4All feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches C++
  • You evaluated both and GPT4All fits your workflow better

full GPT4All profile →

About vllm

Easy, fast, and cheap LLM serving for everyone 🔥 We have built a vLLM website to help you get started with vLLM. Please visit vllm.ai to learn more. For events, please visit vllm.ai/events to join us. About vLLM is a fast and easy to use library for LLM inference and serving. Originally developed in the Sky Computing Lab at UC Berkeley, vLLM has grown into one of the most active open source AI projects built and maintained by a diverse community of many dozens of academic institutions and companies from over 2000 contributors. vLLM is fast with: State of the art serving throughput Efficient management of…

read the full vllm overview →

About GPT4All

GPT4All Now with support for DeepSeek R1 Distillations Website • Documentation • Discord • YouTube Tutorial GPT4All runs large language models (LLMs) privately on everyday desktops & laptops. No API calls or GPUs required you can just download the application and get started . Read about what's new in our blog . Subscribe to the newsletter GPT4All is made possible by our compute partner Paperspace . Download Links — Windows Installer — — Windows ARM Installer — — macOS Installer — — Ubuntu Installer — The Windows and Linux builds require Intel Core…

read the full GPT4All overview →

More in AI & Machine Learning

Related comparisons

More Machine Learning Infrastructure projects

Compare either of these against the rest of the Machine Learning Infrastructure field.

Frequently asked questions

Is vllm or GPT4All more popular?

vllm has 96,158 GitHub stars and GPT4All has 77,347. vllm has the larger community by that measure.

Are vllm and GPT4All free?

Both are open source. vllm is licensed under Apache-2.0 and GPT4All under MIT. Neither carries a licence fee.

What is the difference between vllm and GPT4All?

vllm is written in Python and GPT4All in C++. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, vllm or GPT4All?

Choose vllm if you want the larger community (96,158 stars) or its Apache-2.0 licence terms. Choose GPT4All if its feature set, stack or MIT licence fits better. Both are self-hostable.