Runtime comparison
Ollama vs LM Studio
Ollama is a MIT-licensed runtime for Linux · macOS · Windows running on CUDA · Metal · CPU · ROCm; LM Studio is proprietary-licensed for Linux · macOS · Windows on CUDA · Metal · CPU · Vulkan · ROCm. Both rate 5/5 for ease of setup. Pick Ollama for getting a model running fastest; pick LM Studio for people who want a desktop app and no terminal.
| Spec | Ollama | LM Studio |
|---|---|---|
| License | MIT | proprietary |
| Operating systems | Linux · macOS · Windows | Linux · macOS · Windows |
| GPU backends | CUDA · Metal · CPU · ROCm | CUDA · Metal · CPU · Vulkan · ROCm |
| Install | binary | binary |
| Ease of use | 5/5 | 5/5 |
| Quant formats | gguf | gguf, mlx |
| Engine | llama.cpp | llama.cpp|mlx |
| GitHub stars | 175,773 | — |
| Latest version | v0.31.2 | — |
| Graphical app (GUI) | No | Yes |
| Server mode | Yes | Yes |
| OpenAI-compatible API | Yes | Yes |
| CPU offload | Yes | Yes |
| Multi-GPU | Yes | Yes |
| Speculative decoding | Yes | No |
| LoRA support | Yes | Yes |
| KV-cache quantization | Yes | Yes |
Which should you use?
Ollama
Best for getting a model running fastest. Command line and server, installs in one line, runs on CUDA · Metal · CPU · ROCm.
Full Ollama guide →LM Studio
Best for people who want a desktop app and no terminal. Ships a graphical app, runs on CUDA · Metal · CPU · Vulkan · ROCm.
Full LM Studio guide →Neither runtime changes whether a model fits — that is your memory and quantization. Check your hardware first, then pick the runtime.
Sources: Ollama github.com/ollama/ollama (as of 2026-07-11); LM Studio lmstudio.ai (as of 2026-07-08).