Runtime comparison
KoboldCpp vs vLLM
KoboldCpp is a AGPL-3.0-licensed runtime for Linux · macOS · Windows running on CUDA · CPU · Vulkan · ROCm; vLLM is Apache-2.0-licensed for Linux on CUDA · ROCm. KoboldCpp rates easier to set up (4/5 vs 2/5 in our sourced ratings). Pick KoboldCpp for people who want a desktop app and no terminal; pick vLLM for serving many requests at once.
| Spec | KoboldCpp | vLLM |
|---|---|---|
| License | AGPL-3.0 | Apache-2.0 |
| Operating systems | Linux · macOS · Windows | Linux |
| GPU backends | CUDA · CPU · Vulkan · ROCm | CUDA · ROCm |
| Install | binary / source | pip / source |
| Ease of use | 4/5 | 2/5 |
| Quant formats | gguf | awq, gptq |
| Engine | llama.cpp | vllm |
| GitHub stars | 10,973 | 85,770 |
| Latest version | v1.116.1 | v0.24.0 |
| Graphical app (GUI) | Yes | No |
| Server mode | Yes | Yes |
| OpenAI-compatible API | Yes | Yes |
| CPU offload | Yes | No |
| Multi-GPU | Yes | Yes |
| Speculative decoding | Yes | Yes |
| LoRA support | Yes | Yes |
| KV-cache quantization | Yes | Yes |
Which should you use?
KoboldCpp
Best for people who want a desktop app and no terminal. Ships a graphical app, runs on CUDA · CPU · Vulkan · ROCm.
Full KoboldCpp guide →vLLM
Best for serving many requests at once. Command line and server, runs on CUDA · ROCm.
Full vLLM guide →Neither runtime changes whether a model fits — that is your memory and quantization. Check your hardware first, then pick the runtime.
Sources: KoboldCpp github.com/LostRuins/koboldcpp (as of 2026-07-08); vLLM github.com/vllm-project/vllm (as of 2026-07-08).