Head to head · Coding · updated Oct 17, 2026
Ollama vs llama.cpp
Ollama scores 99 to llama.cpp's 97 on public evidence for run LLMs locally, and they rank #1 and #3 there. Both are free to start. Numbers below are the same public signals the ranking uses, recomputed nightly — nothing here is sponsored.
Ollama
One-command local LLM runner with a model library and an OpenAI-compatible API.
+ `ollama run llama3` is the simplest path to a local model, and most tools integrate with it.
− Hides llama.cpp tuning options, so throughput trails hand-tuned setups.
llama.cpp
C/C++ inference engine for LLMs that runs quantized GGUF models on CPUs and GPUs.
+ The engine underneath Ollama, LM Studio, and most local tooling, with the widest hardware support.
− Building and tuning flags yourself is a chore compared with wrappers.
Side by side
public evidence| Ollama | llama.cpp | |
|---|---|---|
| Evidence score / 100 | 99 | 97 |
| GitHub stars | 183,530 | 131,447 |
| Hacker News stories, 30d | 28 | 28 |
| Release-feed mentions, 30d | 3 | 15 |
| Last activity | 0 days ago | 0 days ago |
| Pricing | Open source · Free; optional cloud models | Open source · Free |
| Platforms | mac, windows, linux, cli, api | mac, windows, linux, cli, api |
| Maker | Ollama | ggml (Georgi Gerganov) |
Which one?
Pick Ollama if
- you want the stronger public evidence (99 vs 97)
Best for anyone running local models for the first time.
Pick llama.cpp if
The engine underneath Ollama, LM Studio, and most local tooling, with the widest hardware support.
Best for developers who want maximum control over local inference.