TokenAssemble

Runtime comparison

KoboldCpp vs SGLang

KoboldCpp is a AGPL-3.0-licensed runtime for Linux · macOS · Windows running on CUDA · CPU · Vulkan · ROCm; SGLang 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 SGLang for serving many requests at once.

SpecKoboldCppSGLang
LicenseAGPL-3.0Apache-2.0
Operating systemsLinux · macOS · WindowsLinux
GPU backendsCUDA · CPU · Vulkan · ROCmCUDA · ROCm
Installbinary / sourcepip / source
Ease of use4/52/5
Quant formatsggufawq, gptq
Enginellama.cppsglang
GitHub stars10,97330,090
Latest versionv1.116.1v0.5.14
Graphical app (GUI)YesNo
Server modeYesYes
OpenAI-compatible APIYesYes
CPU offloadYesNo
Multi-GPUYesYes
Speculative decodingYesYes
LoRA supportYesYes
KV-cache quantizationYesYes

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 →

SGLang

Best for serving many requests at once. Command line and server, runs on CUDA · ROCm.

Full SGLang 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); SGLang github.com/sgl-project/sglang (as of 2026-07-08).