One-command local LLM runtime.
Open Source
Visit Ollama Actually FreeNo SignupOpen Source
Updated 2026-05-15
Ollama vs LM Studio vs llama.cpp
The three serious ways to run LLMs locally.
Ollama is the fastest path to a working OpenAI-compatible server. LM Studio is the best GUI, especially on Apple Silicon. llama.cpp gives you full control and weirdest quants.
Desktop GUI for running local LLMs.
Freemium
Visit LM Studio Actually FreeNo SignupWatermark-Free
The C++ inference engine powering most local LLMs.
Open Source
Visit llama.cpp Actually FreeNo SignupOpen Source
One-command local LLM runtime. | Desktop GUI for running local LLMs. | The C++ inference engine powering most local LLMs. | |
|---|---|---|---|
| Pricing | Open Source | Freemium | Open Source |
| Free tier | Fully free / OSS. You provide the hardware. | Free for personal use. Commercial license required for business deployments. | Free / OSS. |
| Best for | Easiest local LLM onboarding | Beautiful UI | Best quantization support anywhere |
| Watch out for | Opinionated model registry | Closed source | CLI-first |
| Platforms | mac, windows, linux, docker, cli, api | mac, windows, linux | mac, windows, linux, cli, docker |
| Min VRAM | — | — | — |
| Rec. VRAM | 16 GB | 16 GB | 24 GB |
| Compute | local | local | local |
| Power score | 94/100 | 88/100 | 96/100 |
| Verified badges | Actually FreeNo SignupOpen SourceWatermark-FreeHobbyist-FriendlyAPI | Actually FreeNo SignupWatermark-FreeHobbyist-FriendlyAPI | Actually FreeNo SignupOpen SourceWatermark-FreeHobbyist-FriendlyAPI |
| Visit Ollama | Visit LM Studio | Visit llama.cpp |