Runtime comparison
LM Studio vs TabbyAPI
LM Studio is a proprietary-licensed runtime for Linux · macOS · Windows running on CUDA · Metal · CPU · Vulkan · ROCm; TabbyAPI is AGPL-3.0-licensed for Linux · Windows on CUDA · ROCm. LM Studio rates easier to set up (5/5 vs 3/5 in our sourced ratings). Pick LM Studio for people who want a desktop app and no terminal; pick TabbyAPI for serving many requests at once.
| Spec | LM Studio | TabbyAPI |
|---|---|---|
| License | proprietary | AGPL-3.0 |
| Operating systems | Linux · macOS · Windows | Linux · Windows |
| GPU backends | CUDA · Metal · CPU · Vulkan · ROCm | CUDA · ROCm |
| Install | binary | source |
| Ease of use | 5/5 | 3/5 |
| Quant formats | gguf, mlx | exl2 |
| Engine | llama.cpp|mlx | exllamav2 |
| GitHub stars | — | 1,273 |
| Graphical app (GUI) | Yes | No |
| Server mode | Yes | Yes |
| OpenAI-compatible API | Yes | Yes |
| CPU offload | Yes | No |
| Multi-GPU | Yes | Yes |
| Speculative decoding | No | Yes |
| 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 →TabbyAPI
Best for serving many requests at once. Command line and server, runs on CUDA · ROCm.
Full TabbyAPI 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); TabbyAPI github.com/theroyallab/tabbyAPI (as of 2026-07-08).