LiteLLM vs LLMKube
A side-by-side comparison of two self-hosted local llm runners options — licensing, setup difficulty, resource needs, and what each one replaces.
Not the right match-up?
LiteLLM
Unified proxy and gateway for 100+ LLM APIs
VS
LLMKube
Kubernetes operator for llama.cpp-native LLM inference with GPU
| Feature | LiteLLM | LLMKube |
|---|---|---|
| Category | Local LLM Runners | Local LLM Runners |
| License | MIT | Apache-2.0 |
| Language | Python | Go |
| Setup difficulty | Medium | Medium |
| Min. RAM | 1,024 MB | 512 MB |
| Deployment | docker, kubernetes, bare-metal | docker, kubernetes |
| GitHub stars | ★ 55,843 | ★ 186 |
| First released | 2023 | 2026 |
| Replaces | OpenRouter | — |
Why pick each one
Choose LiteLLM if…
- Released under the MIT license
- First-class Docker support for quick deployment
- Kubernetes-ready with Helm charts available
- Mature project with 55.8k GitHub stars
Choose LLMKube if…
- Released under the Apache-2.0 license
- First-class Docker support for quick deployment
- Kubernetes-ready with Helm charts available
- Written in Go
Frequently asked questions
Is LiteLLM or LLMKube better?
Neither is universally better. LiteLLM has the larger community; both share a medium setup difficulty, so the decision comes down to features and licensing.
Are LiteLLM and LLMKube free and open-source?
Yes. LiteLLM is licensed under MIT and LLMKube under Apache-2.0. Both can be self-hosted at no software cost.
Can I run LiteLLM and LLMKube with Docker?
LiteLLM: yes. LLMKube: yes.