LM Studio vs MLX
LM Studio — a desktop application over llama.cpp and MLX, with model discovery and hardware-aware suggestions built in. MLX — apple's own array framework. The native path on Apple Silicon, with its own model format. They share no model format, so switching means downloading again.
Side by side
| LM Studio | MLX | |
|---|---|---|
| Model formats | GGUF, MLX | MLX (safetensors-based) |
| KV cache quantization | yes | yes |
| CPU offload | yes | no |
| MoE expert offload | no | no |
| Multi-GPU | Basic; exposes fewer controls than the engine underneath. | Not applicable — one chip, one unified memory pool. |
| Concurrency | Local server for personal use. | Single-user focused. |
| Platforms | macOS, Windows, Linux | macOS |
Choose LM Studio if…
People who would rather not use a terminal, and Apple Silicon users who want MLX without setting it up themselves.
Closed source, and its convenience layer hides some of the memory controls that matter when a model is close to not fitting.
Choose MLX if…
Apple Silicon, particularly at larger model sizes where the unified memory pool is the whole reason you bought the machine.
Its models are a separate format, so a GGUF you already downloaded will not work. Model availability is narrower than GGUF, though the popular families are all converted.
Why there is no speed comparison here
We have not benchmarked these against each other, so we will not rank them on speed. Most of them wrap the same engine, which makes the differences that matter capability rather than throughput — and where a real speed gap exists it usually comes from configuration, such as how much of the model fits on the GPU and whether the cache is quantized, rather than from the runtime itself.