head to head · open source
GPT4All vs ServerlessLLM
GPT4All has 77,347 GitHub stars, 8,261 forks, 771 open issues and last shipped 1.4 years ago. ServerlessLLM has 718 stars, 80 forks, 45 open issues and last shipped 2 months ago. GPT4All leads on adoption by 10,673% (77,347 vs 718 stars). GPT4All is written in C++ under MIT; ServerlessLLM is written in Python under Apache-2.0. GPT4All has attracted 11% as many forks as stars, ServerlessLLM 11%. ServerlessLLM 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.
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Side by side
| GPT4All | ServerlessLLM | |
|---|---|---|
| GitHub stars | ★ 77K | ★ 718 |
| License | MIT | Apache-2.0 |
| Written in | C++ | Python |
| Last push | 2025-05-27 | 2026-09-04 |
| Forks | ⑂ 8.3K | ⑂ 80 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick GPT4All if
- You weight community size — 77K stars and counting
- You want the MIT license terms
- Your stack matches C++
- You value the larger contributor base for long-term maintenance
pick ServerlessLLM if
- You want the ServerlessLLM feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and ServerlessLLM fits your workflow better
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 →
About ServerlessLLM
ServerlessLLM Load models 10x faster. Serve 10 models with 1 GPU. Docs • Quick Start • OSDI'24 Paper ⚡ Performance ServerlessLLM loads models 6 10x faster than SafeTensors , enabling true serverless deployment where multiple models efficiently share GPU resources. Model Scenario SafeTensors ServerlessLLM Speedup Qwen/Qwen3 32B Random 20.6s 3.2s 6.40x Cached 12.5s 1.3s 9.95x DeepSeek R1 Distill Qwen 32B Random 19.1s 3.2s 5.93x Cached 10.2s 1.2s 8.58x Llama 3.1 8B Instruct Random 4.4s 0.7s 6.54x Results obtained on NVIDIA H100 GPUs with NVMe SSD. "Random" simulates serverless multi model serving; "Cached" shows…
read the full ServerlessLLM overview →
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Frequently asked questions
Is GPT4All or ServerlessLLM more popular?
GPT4All has 77,347 GitHub stars and ServerlessLLM has 718. GPT4All has the larger community by that measure.
Are GPT4All and ServerlessLLM free?
Both are open source. GPT4All is licensed under MIT and ServerlessLLM under Apache-2.0. Neither carries a licence fee.
What is the difference between GPT4All and ServerlessLLM?
GPT4All is written in C++ and ServerlessLLM in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, GPT4All or ServerlessLLM?
Choose GPT4All if you want the larger community (77,347 stars) or its MIT licence terms. Choose ServerlessLLM if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.