Runtime comparison
LM Studio vs MLX LM
LM Studio is a proprietary-licensed runtime for Linux · macOS · Windows running on CUDA · Metal · CPU · Vulkan · ROCm; MLX LM is MIT-licensed for macOS on Metal. LM Studio rates easier to set up (5/5 vs 4/5 in our sourced ratings). Pick LM Studio for people who want a desktop app and no terminal; pick MLX LM for maximum control over how the model runs.
| Spec | LM Studio | MLX LM |
|---|---|---|
| License | proprietary | MIT |
| Operating systems | Linux · macOS · Windows | macOS |
| GPU backends | CUDA · Metal · CPU · Vulkan · ROCm | Metal |
| Install | binary | pip |
| Ease of use | 5/5 | 4/5 |
| Quant formats | gguf, mlx | mlx |
| Engine | llama.cpp|mlx | mlx |
| GitHub stars | — | 6,236 |
| Latest version | — | v0.31.3 |
| Graphical app (GUI) | Yes | No |
| Server mode | Yes | Yes |
| OpenAI-compatible API | Yes | Yes |
| CPU offload | Yes | No |
| Multi-GPU | Yes | No |
| Speculative decoding | No | No |
| LoRA support | Yes | Yes |
| KV-cache quantization | Yes | Yes |
Which should you use?
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 →MLX LM
Best for maximum control over how the model runs. Command line and server, runs on Metal.
Full MLX LM guide →Neither runtime changes whether a model fits — that is your memory and quantization. Check your hardware first, then pick the runtime.
Sources: LM Studio lmstudio.ai (as of 2026-07-08); MLX LM github.com/ml-explore/mlx-lm (as of 2026-07-08).