Open WebUI or LM Studio: which should you use to run local AI?

Should you use Open WebUI or LM Studio? Use LM Studio if you're one person on one computer and want a single app that finds, downloads and runs models with no terminal. Use Open WebUI if more than one person or device should reach your local models from a browser, with their own logins and permissions. And if you like both, run both: Open WebUI's own docs show how to plug it into LM Studio's server. Checked on both projects' own pages on Nov 3, 2026.

When does LM Studio win?

When it's just you, on the computer that has the GPU, and you want to be chatting with a model in a few minutes. LM Studio's docs list what it does: "Download and run local LLMs like gpt-oss or Llama, Qwen", "Search & download functionality (via Hugging Face 🤗)" and "Serve local models on OpenAI-like endpoints, locally and on the network." It runs models "using llama.cpp" on Mac, Windows and Linux, and on Apple Silicon Macs "also supports running LLMs using Apple's MLX."

Open WebUI's own comparison page is generous about its rival: "LM Studio has nailed the desktop experience for local AI. The built-in model browser makes discovering and downloading models from Hugging Face effortless", it says, before praising its performance and its clean interface. Its verdict: "Choose LM Studio if you want the best desktop experience for discovering and running local models."

• No server to set up. One installer, one window. There's also llmster, which LM Studio's docs call "the headless version of LM Studio, no desktop app required", for servers and CI.
• Hardware floor. LM Studio's system requirements say Macs need Apple Silicon and macOS 14.0 or newer ("Intel-based Macs are currently not supported"), Windows x64 needs a CPU with AVX2, and "At least 16GB of RAM is recommended."
• Your other devices, the LM Studio way. LM Link, in preview, connects machines running LM Studio or llmster so you can "load models on remote devices and use them as if they were local". It still means LM Studio on each device, not a browser login for a family member.

When does Open WebUI win?

When more than one person, or more than one device, should use your local models. Open WebUI's README calls it "an extensible, easy-to-use, self-hosted platform built to run entirely offline" that can "Connect local models through Ollama or use OpenAI-compatible APIs for local and cloud models." Its comparison page lists "Team features including RBAC, SSO/OIDC/LDAP, SCIM 2.0, analytics, and evaluation arena" and says to choose it "if you want a web-based platform with team access, persistent knowledge bases, or the ability to use local models alongside cloud providers like OpenAI, Anthropic, and Google."

• It doesn't run models on its own (mostly). The table above says Open WebUI "Connects to model runners (Ollama, etc.)". The usual pairing is Ollama; the README offers a Docker image tag :ollama, "Open WebUI bundled with Ollama".
• New this week: a desktop app. The v0.13.0 release notes, published Nov 3, 2026, say Open WebUI Desktop "now focuses on setting up and running Open WebUI on your own computer, with optional llama.cpp local models." Its README asks for 5 GB+ of disk and macOS 12+, Windows 10+ or modern Linux. It's version 0.1.4 (Nov 2, 2026), so treat it as early.
• Updates need care on a shared server. The same release notes warn it "includes database schema changes" and recommend backing up first, and say it contains security fixes, so keep a team install updated.

Can you use Open WebUI and LM Studio together?

Yes, and it's a good setup: LM Studio picks and runs the models, Open WebUI gives everyone a browser chat with logins. Open WebUI's docs say "LM Studio's OpenAI-compatible API server works well as a backend for Open WebUI."

Two details from the docs that save a support thread. If Open WebUI runs on a different machine, or in Docker, localhost points at the wrong place: turn on LM Studio's "Serve on Local Network" option, which "allows the LM Studio API server running on your machine to be accessible by other devices connected to the same local network", and use that machine's address. And Open WebUI's connection docs say setting the Provider to LM Studio under Advanced "lets admins download, load and unload models without leaving Open WebUI."

Is either one free, and what do the licenses mean?

Both cost nothing to use, and neither is MIT-style open source.

• LM Studio is proprietary. Its app terms (version Aug 23, 2026) grant "a non-exclusive, non-transferable license to use the Software solely for Your personal and / or internal business purposes". Since July 8, 2025 its blog says "LM Studio is free to use both at home and at work", with no form to fill. LM Studio's paid plans ($20 and $100 a month on its pricing page, Nov 3, 2026) are for its Bionic agent's cloud models, not for running local models.
• Open WebUI uses the Open WebUI License: BSD-style terms plus a clause that bans removing or changing the "Open WebUI" branding unless your deployment has no more than "fifty (50)" end users in a rolling 30 days, you have written permission, or you have an enterprise license. Using it as is, with the branding, is fine at any size. Details in the Open WebUI license, explained.

Does either one need a better GPU?

No. Neither app changes how much memory a model needs: the model, its quantization and its context length do. Since Open WebUI hands the work to a runner (Ollama, LM Studio or llama.cpp), a model that fits in LM Studio fits behind Open WebUI too. Check your card against the model in our VRAM calculator before you download 20 GB of weights. If it doesn't fit, you can run Ollama and Open WebUI with Docker on a rented GPU instead; today's rental prices are on /cloud-gpu.

Which one should you pick?

• You, one computer, want it simple: LM Studio.
• A household or team sharing one GPU box: Open WebUI in front of Ollama or LM Studio, with a login for each person.
• You want to chat from your phone while the model runs on your desktop: Open WebUI, opened in the phone's browser.
• You like LM Studio's model browser but need a shared web UI: both, connected as above.
• You want local and cloud models in one place: Open WebUI.
• You plan to rebrand it for a large group: read the Open WebUI license first; LM Studio's terms limit use to personal or internal business purposes.

The runner underneath is its own choice, covered in Ollama vs LM Studio and Ollama vs llama.cpp vs LM Studio vs vLLM. Weighing other web front-ends? See Open WebUI vs LibreChat vs AnythingLLM. For the Docker setup, see running local AI in Docker.