head to head · open source

llama.cpp vs infinity

llama.cpp has 128,581 GitHub stars, 23,334 forks, 2,464 open issues and last shipped yesterday. infinity has 4,708 stars, 445 forks, 126 open issues and last shipped 9 days ago. llama.cpp leads on adoption by 2,631% (128,581 vs 4,708 stars). llama.cpp is written in C++ under MIT; infinity is written in C++ under Apache-2.0. llama.cpp has attracted 18% as many forks as stars, infinity 9%. llama.cpp was the more recently maintained of the two, and both are self-hostable with no licence fee.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

llama.cpp ★ 129K infinity ★ 4.7K category AI & Machine Learning

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Side by side

	llama.cpp	infinity
GitHub stars	★ 129K	★ 4.7K
License	MIT	Apache-2.0
Written in	C++	C++
Last push	2026-09-17	2026-09-09
Forks	⑂ 23K	⑂ 445
Self-hosting	Yes	Yes
Data ownership	Your server	Your server

pick llama.cpp if

You weight community size — 129K stars and counting
You want the MIT license terms
Your stack matches C++
You value the larger contributor base for long-term maintenance

full llama.cpp profile →

pick infinity if

You want the infinity feature set and don't need the biggest community
You prefer the Apache-2.0 license terms
Your stack matches C++
You evaluated both and infinity fits your workflow better

full infinity profile →

About llama.cpp

llama.cpp is a C/C++ library and set of command line tools for running large language models (LLMs) and vision language models (VLMs) locally. It enables inference without external dependencies, targeting diverse hardware including Apple Silicon, x86 CPUs, NVIDIA GPUs (via CUDA), AMD GPUs (via HIP), and other accelerators. The project lives in the ggml ecosystem, leveraging the ggml tensor computation library for low level operations and quantized model execution.

read the full llama.cpp overview →

About infinity

Infinity is an Apache 2.0, C++ database in the AI and machine learning infrastructure ecosystem. It is an AI native database for large language model applications, including search, recommendation, question answering, conversational AI, copilot, content generation, and retrieval augmented generation. The project targets matching and ranking rich data types inside one system, rather than combining separate vector, text, and reranking components.

read the full infinity overview →

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Frequently asked questions

Is llama.cpp or infinity more popular?

llama.cpp has 128,581 GitHub stars and infinity has 4,708. llama.cpp has the larger community by that measure.

Are llama.cpp and infinity free?

Both are open source. llama.cpp is licensed under MIT and infinity under Apache-2.0. Neither carries a licence fee.

What is the difference between llama.cpp and infinity?

llama.cpp is written in C++ and infinity in C++. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, llama.cpp or infinity?

Choose llama.cpp if you want the larger community (128,581 stars) or its MIT licence terms. Choose infinity if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.