Ollama vs llama.cpp.
Ollama: The easiest on-ramp: model management plus a stable local API that harnesses, UIs and memory layers already support. llama.cpp: Maximum control over quantization, context and sampling; widest GGUF model coverage.
| Ollama | llama.cpp | |
|---|---|---|
| What it is | The one-command local model runner with a REST API on port 11434. | The gold-standard C/C++ inference engine for GGUF models, with Metal as a first-class backend. |
| Licence | MIT | MIT |
| Runs on | Mac (Apple chip), Linux, Windows | Mac (Apple chip), Linux, Windows |
| Install (Mac) | curl -fsSL https://ollama.com/install.sh | sh | curl -LsSf https://llama.app/install.sh | sh |
| Check it works | ollama --version | command -v llama |
| GitHub stars | 183,450 | 131,388 |
| Last push | 2026-10-16 | 2026-10-16 |
| Works with | open-webui, litellm, aider, mem0 | open-webui, litellm, aider |
| Kit says | If someone asks me how to get a model running in five minutes, I point here. It's the default backend half the directory plugs into. | This is the engine under a lot of other engines. Version 0.6.0 got its own episode on the channel: new Metal code and a 'will it fit?' estimator. |
Ollama · watch out
- Model names change frequently; confirm on ollama.com/library.
llama.cpp · watch out
- CLI naming changed across versions (llama cli / llama serve vs llama-cli / llama-server); use whichever your install provides.
Short answers.
- What is the difference between Ollama and llama.cpp?
- Ollama: The one-command local model runner with a REST API on port 11434. llama.cpp: The gold-standard C/C++ inference engine for GGUF models, with Metal as a first-class backend.
- Which should I pick, Ollama or llama.cpp?
- Ollama: The easiest on-ramp: model management plus a stable local API that harnesses, UIs and memory layers already support. llama.cpp: Maximum control over quantization, context and sampling; widest GGUF model coverage.
- Are Ollama and llama.cpp free and open source?
- Ollama: MIT. llama.cpp: MIT.
Facts from each tool's docs and repo, checked 2026-10-15 and 2026-10-15. Stars checked on the listing date.
# Ollama vs llama.cpp URL: https://insidethemachine.ai/compare/ollama-vs-llama-cpp Facts from the site's runbooks (checked 2026-10-15 / 2026-10-15). No speed claims: we have not benchmarked them on the Mac Studio yet. ## Ollama The one-command local model runner with a REST API on port 11434. - Best for: The easiest on-ramp: model management plus a stable local API that harnesses, UIs and memory layers already support. - Kit says: If someone asks me how to get a model running in five minutes, I point here. It's the default backend half the directory plugs into. - Licence: MIT - Runs on: Mac (Apple chip), Linux, Windows - Install (Mac): `curl -fsSL https://ollama.com/install.sh | sh` - Check it works: `ollama --version` - GitHub stars: 183,450 (last push 2026-10-16) - Works with: open-webui, litellm, aider, mem0 - Caveats: Model names change frequently; confirm on ollama.com/library. - Runbook: https://insidethemachine.ai/setups/ollama.md · https://ollama.com/ ## llama.cpp The gold-standard C/C++ inference engine for GGUF models, with Metal as a first-class backend. - Best for: Maximum control over quantization, context and sampling; widest GGUF model coverage. - Kit says: This is the engine under a lot of other engines. Version 0.6.0 got its own episode on the channel: new Metal code and a 'will it fit?' estimator. - Licence: MIT - Runs on: Mac (Apple chip), Linux, Windows - Install (Mac): `curl -LsSf https://llama.app/install.sh | sh` - Check it works: `command -v llama` - GitHub stars: 131,388 (last push 2026-10-16) - Works with: open-webui, litellm, aider - Caveats: CLI naming changed across versions (llama cli / llama serve vs llama-cli / llama-server); use whichever your install provides. - Runbook: https://insidethemachine.ai/setups/llama-cpp.md · https://llama.app ## Questions **What is the difference between Ollama and llama.cpp?** Ollama: The one-command local model runner with a REST API on port 11434. llama.cpp: The gold-standard C/C++ inference engine for GGUF models, with Metal as a first-class backend. **Which should I pick, Ollama or llama.cpp?** Ollama: The easiest on-ramp: model management plus a stable local API that harnesses, UIs and memory layers already support. llama.cpp: Maximum control over quantization, context and sampling; widest GGUF model coverage. **Are Ollama and llama.cpp free and open source?** Ollama: MIT. llama.cpp: MIT.