TokenAssemble

Runtime comparison

KoboldCpp vs LM Studio

KoboldCpp is a AGPL-3.0-licensed runtime for Linux · macOS · Windows running on CUDA · CPU · Vulkan · ROCm; LM Studio is proprietary-licensed for Linux · macOS · Windows on CUDA · Metal · CPU · Vulkan · ROCm. LM Studio rates easier to set up (5/5 vs 4/5 in our sourced ratings). Pick KoboldCpp for people who want a desktop app and no terminal; pick LM Studio for people who want a desktop app and no terminal.

SpecKoboldCppLM Studio
LicenseAGPL-3.0proprietary
Operating systemsLinux · macOS · WindowsLinux · macOS · Windows
GPU backendsCUDA · CPU · Vulkan · ROCmCUDA · Metal · CPU · Vulkan · ROCm
Installbinary / sourcebinary
Ease of use4/55/5
Quant formatsggufgguf, mlx
Enginellama.cppllama.cpp|mlx
GitHub stars10,973
Latest versionv1.116.1
Graphical app (GUI)YesYes
Server modeYesYes
OpenAI-compatible APIYesYes
CPU offloadYesYes
Multi-GPUYesYes
Speculative decodingYesNo
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 →

LM Studio

Best for people who want a desktop app and no terminal. Ships a graphical app, runs on CUDA · Metal · CPU · Vulkan · ROCm.

Full LM Studio 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); LM Studio lmstudio.ai (as of 2026-07-08).