LM Studio vs llamay (2026): desktop app or local engine

Side by side

	LM Studio	llamay
Licence	Proprietary app from Element Labs; licensed for personal and internal business use, no reverse engineering — app terms. The `lms` CLI is MIT — lms	Proprietary, free to download and run — pricing
Engine	"MLX and llama.cpp under the hood" — lmstudio.ai	Its own engine, written in Go; reads GGUF — architecture
Mac	Apple silicon, macOS 14 or newer; Intel Macs are not supported — system requirements	Apple silicon with Metal (app: macOS 13 or later); Intel Macs run the command line and Studio — the apps
Windows	x64 (AVX2) and ARM; 4 GB of dedicated VRAM recommended — system requirements	x64 and arm64 installers; CPU only — backends
Linux	x64 and ARM64 AppImage, Ubuntu 20.04 or newer — system requirements	.deb, .rpm and tarballs; CUDA or Vulkan in the GPU build — install
APIs	OpenAI-compatible, Anthropic-compatible `/v1/messages`, and its own REST API — developer docs; examples use port 1234 — Anthropic compatibility	OpenAI, Anthropic and Ollama APIs on port 11435 — HTTP API
Headless	`llmster`, LM Studio's core as a daemon, driven by `lms` — developer docs	`llamay serve`, or the background service the installer sets up — serving
Model formats	GGUF through llama.cpp and MLX models through MLX — lmstudio.ai	GGUF only; MLX weights are not read — models

Which to choose

Choose LM Studio if

the person using the model wants a window, a model search and a chat, and never a terminal;
you want MLX-format models on an Apple silicon Mac — llamay reads GGUF only;
you want GPU acceleration on Windows, where llamay's builds run on the CPU.

Choose llamay if

you are building on the API, and want OpenAI, Anthropic and Ollama clients all answered by one server;
you already have models in Ollama and do not want a second copy of them;
you want long prompts computed once and forked, or saved to a file and restored later — see the state engine;
your Mac has an Intel chip, which LM Studio does not support.

Neither is open source. If that is the requirement, look at llama.cpp, Ollama or Jan on the alternatives page.

Questions

Is LM Studio open source?

No. LM Studio's app terms say the software is the exclusive property of Element Labs and forbid reverse engineering. Its lms command-line tool is published separately under the MIT licence.

Is llamay open source?

No. llamay is proprietary software from Kosa8 Labs. It is free to download and run on your own machine; the hosted plans are what is sold.

Does LM Studio run on Intel Macs?

No. LM Studio's system requirements say Intel-based Macs are not supported. llamay's command line and Studio run on Intel Macs on the CPU; its Mac app needs Apple silicon.

Can llamay run MLX models?

No. llamay reads GGUF files. LM Studio runs both GGUF and MLX models on a Mac.

Do LM Studio and llamay both offer an Anthropic-compatible API?

Yes. LM Studio documents /v1/messages, and llamay serves /v1/messages natively, alongside OpenAI's API and, in llamay's case, Ollama's.

Sources

Every statement above about another project is taken from that project's own documentation, repository or licence, read on 31 October 2026. Anything we could not confirm there is left out. If one of these has changed, write to [email protected] and we will correct the page.

Last reviewed 31 October 2026.