Is llama.cpp better than KoboldCpp?

llama.cpp ranks higher in our list of local LLM runners (#2 against #6, score 90.0 against 84.5). KoboldCpp is best for: single-file local writing and chat with GGUF models. llama.cpp is best for: developers who want a local inference engine.

Which is cheaper, KoboldCpp or llama.cpp?

KoboldCpp: AGPL-3.0 software is free to run locally. llama.cpp: Free and open source under the MIT license.

Do KoboldCpp and llama.cpp run on the same platforms?

KoboldCpp supports Windows, Linux, macOS. llama.cpp supports Command line.

KoboldCpp vs llama.cpp: Which Is Better? (2026)

84.5
Editorial score
90.0
3
Platforms
1
Yes
Free to use
Yes
Yes
Open source
Yes

Which should you choose?

Choose KoboldCpp if you want

Single-file local writing and chat with GGUF models.

Single-file AGPL-3.0 runner for GGUF models, with the KoboldAI Lite interface and image, speech and music generation on Windows, Linux and macOS. Its copyleft license and wider feature set place it below Ollama.

Choose llama.cpp if you want

Developers who want a local inference engine.

The engine many local tools build on, with GGUF support, a server and a library API. It needs command-line comfort, so beginners will find Ollama or Jan easier.

The main differences

Only KoboldCpp runs on Linux.
Only KoboldCpp runs on Windows.
Only KoboldCpp runs on macOS.

Side by side

	KoboldCpp	llama.cpp
Score	84.5	90.0
Rank in list	#6 of 10	#2 of 10
Price	Free and open sourceAGPL-3.0 software is free to run locally	Free and open sourceFree and open source under the MIT license
Free to use	Yes	Yes
Open source	Yes	Yes
Platforms	WindowsLinuxmacOSWindows, Linux, macOS	Command lineCommand line
Made by	LostRuins	Not stated
Interface	Web interface (KoboldAI Lite)	Command line and server
Model format	GGUF	GGUF model files
Cloud option	Not listed	Not applicable
Best for	Single-file local writing and chat with GGUF models	Developers who want a local inference engine
Strengths	One file with no install step Runs on CPU or GPU AGPL-3.0 open source	MIT license with source on GitHub Runs many GGUF models on local hardware Includes a server and a library API
Limits	AGPL-3.0 has strong copyleft terms Image, video and music need separate compatible models	Needs command-line and build knowledge No built-in graphical app
Links	Visit site	Visit site

Questions about KoboldCpp vs llama.cpp

Is llama.cpp better than KoboldCpp?: llama.cpp ranks higher in our list of local LLM runners (#2 against #6, score 90.0 against 84.5). KoboldCpp is best for: single-file local writing and chat with GGUF models. llama.cpp is best for: developers who want a local inference engine.
Which is cheaper, KoboldCpp or llama.cpp?: KoboldCpp: AGPL-3.0 software is free to run locally. llama.cpp: Free and open source under the MIT license.
Do KoboldCpp and llama.cpp run on the same platforms?: KoboldCpp supports Windows, Linux, macOS. llama.cpp supports Command line.