llama.cpp vs Ollama

Compare llama.cpp and Ollama on deployment, pricing, model support, and more.

llama.cpp

Tagline: Run LLMs on CPU/GPU locally
Description: C/C++ inference of Llama-family and other models on consumer hardware.
Category: LLM Frameworks
Pricing: Free
Metric: —
Local support: Yes
Open source: Yes
Link: Visit

Tagline: Run LLMs locally — pull and run Llama, Mistral, Gemma, and 100+ models with one command and OpenAI-compatible API
Description: Ollama is the easiest way to run large language models locally on macOS, Linux, and Windows. With a simple CLI (`ollama pull llama3.1` → `ollama run llama3.1`), it manages model downloads, hardware configuration, and inference. Ollama's local REST API is compatible with the OpenAI API format, making it a drop-in replacement for cloud LLMs in development and privacy-sensitive production deployments. 163K+ GitHub stars; the most popular local LLM runtime.
Category: LLM Frameworks
Pricing: Free
Metric: 180,646 GitHub stars (source)
Local support: —
Open source: —
Link: Visit

Attribute	llama.cpp	Ollama
Tagline	Run LLMs on CPU/GPU locally	Run LLMs locally — pull and run Llama, Mistral, Gemma, and 100+ models with one command and OpenAI-compatible API
Category	LLM Frameworks	LLM Frameworks
Pricing	Free	Free
Description	C/C++ inference of Llama-family and other models on consumer hardware.	Ollama is the easiest way to run large language models locally on macOS, Linux, and Windows. With a simple CLI (`ollama pull llama3.1` → `ollama run llama3.1`), it manages model downloads, hardware configuration, and inference. Ollama's local REST API is compatible with the OpenAI API format, making it a drop-in replacement for cloud LLMs in development and privacy-sensitive production deployments. 163K+ GitHub stars; the most popular local LLM runtime.
Local support	Yes	—
Open source	Yes	—
Metric	—	180,646 GitHub stars (source)
Link	Visit	Visit