LM Studio vs Open WebUI
In short
LM Studio vs Open WebUI: both are productivity tools on Scriptiii AI Tools. LM Studio pricing: Freemium. Free tier with paid upgrades. (reported by the maker) Open WebUI pricing: Free. Free to use. (reported by the maker) Both have 0 upvotes.
- LM Studio
- Freemium. Free tier with paid upgrades. (reported by the maker)
- Open WebUI
- Free. Free to use. (reported by the maker)
- Upvotes
- 0 vs 0
| Field | LM Studio | Open WebUI |
|---|---|---|
| Page | LM Studio | Open WebUI |
| Pricing (maker-reported) | Freemium. Free tier with paid upgrades. | Free. Free to use. |
| Upvotes | 0 | 0 |
| Best for | ai-agents, tool, local-llms | ai-agents, tool, local-llms |
| Tagline | Desktop app for running local LLMs, including the Bionic agent, with optional cloud inference. | Self-hosted AI chat interface supporting Ollama and OpenAI-compatible APIs. |
| Website | Visit LM Studio | Visit Open WebUI |
Pricing and pricing details come from the maker's submission. They are not independently verified.
LM Studio
Overview
LM Studio is a desktop app for running local LLMs on your own machine. It downloads models, manages them, and serves them through a local runtime built on MLX (Apple Silicon) and llama.cpp (CPU/GPU). The current release centers on Bionic, LM Studio's agent for open models — built for work, code and document editing, natively local.
Because inference runs on your hardware, prompts, files and voice audio stay on the device unless you explicitly use a cloud feature.
Core capabilities
- Local model library — browse and download open models (including frontier open-weight models such as GLM, Kimi and DeepSeek families) from inside the app.
- Bionic agent — create and edit documents with automatic saving, run coding tasks, build automations and control the computer through an agent loop.
- Real-time voice transcription — talk to Bionic and have speech transcribed locally, with multiple language support; audio never leaves the device.
- OpenAI-compatible local server — expose loaded models on a local endpoint so other tools and SDKs can use them.
- MLX and llama.cpp backends — optimized inference on Apple Silicon and broad GPU/CPU support elsewhere.
- Model and context controls — choose quantization, context length and GPU offload per model.
- Privacy-first design — local processing by default; LM Studio states its cloud services are zero-data-retention.
What it is good at
LM Studio is useful for private coding assistance, offline work, experimenting with open models, prototyping agents without API bills, and running a local OpenAI-compatible endpoint for other applications. It is not a hosted service — performance depends on your hardware and the model size you can fit.
Getting started
- Download LM Studio for macOS, Windows or Linux.
- Search the model catalog and download a model that fits your RAM/VRAM.
- Load the model and chat, or open Bionic for agentic work.
- Start the local server if another app needs an API endpoint.
- Adjust context length and GPU offload if you hit memory limits.
Pricing
LM Studio is free to download and use locally. Account-based and cloud features may have their own terms; check lmstudio.ai for current details.
Links
- Website: lmstudio.ai
- Docs: lmstudio.ai/docs
- Bionic docs: lmstudio.ai/docs/bionic
Open WebUI
Open WebUI
Open WebUI is a home for AI: an extensible, easy-to-use, self-hosted platform built to run entirely offline. Connect local models through Ollama or use OpenAI-compatible APIs for local and cloud models.
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Installation
Python
## With uv installed (macOS/Linux)
DATA_DIR=~/.open-webui uvx --python 3.12 open-webui@latest serve
## Or install and run with pip (Python 3.12)
pip install open-webui
open-webui serve
Then open http://localhost:8080.
Docker
docker run -d -p 3000:8080 --add-host=host.docker.internal:host-gateway -v open-webui:/app/backend/data --name open-webui --restart always ghcr.io/open-webui/open-webui:main
Then open http://localhost:3000.
| Image tag | Includes |
|---|---|
:main | Standard image with local AI dependencies |
:slim | Lightweight image using external services for embeddings, document extraction, and voice |
:cuda | Open WebUI with CUDA acceleration |
:ollama | Open WebUI bundled with Ollama |
:dev | Latest development build |
Add these options to docker run before the image name as needed:
| Option | Purpose |
|---|---|
-e OLLAMA_BASE_URL=http://your-ollama-server:11434 | Connect to Ollama on another server |
-e OPENAI_API_KEY=your_secret_key | Set your OpenAI API key |
-e HF_HUB_OFFLINE=1 | Disable Hugging Face model downloads for offline use |
--gpus all | Enable Nvidia GPU access for :cuda or :ollama; requires the Nvidia Container Toolkit |
See the Docker installation guide for setup instructions and configuration options.
Desktop App
Download the native desktop app for macOS, Windows, and Linux.
Ecosystem
- Open Terminal / Terminals (Enterprise): The action layer that turns Open WebUI into a full agent harness, with enterprise orchestration for per-user workspaces.
- Knowledge Base Sync (oikb): Mirror folders, repos, buckets, and wikis into Open WebUI Knowledge Bases with incremental sync.
- Open WebUI Computer: Your computer in any browser: files, editor, terminal, git, and optional AI agents, running on your real machine.
See the ecosystem documentation for details.
Troubleshooting and Updates
See the troubleshooting guide for connection issues and the updating guide to update your installation.
Documentation
See the docs for configuration and usage, and the roadmap for planned work.
For Docker Compose, Kubernetes, and other setups, see the installation docs.
Support
Open an issue or start a discussion.
Find us on Reddit, X, and Discord.
Security
Report vulnerabilities privately through GitHub security advisories. Security reports are accepted only through GitHub.
Star History
License
Includes code under the Open WebUI License, which requires preserving the Open WebUI branding, and prior contributions under their original licenses. See LICENSE and LICENSE_HISTORY for terms and history.
Enterprise · Careers · Sponsor
Created by Timothy Jaeryang Baek.
Questions
- How do LM Studio and Open WebUI differ on price?
- LM Studio is Freemium. Free tier with paid upgrades. (reported by the maker) Open WebUI is Free. Free to use. (reported by the maker)
- Which has more upvotes, LM Studio or Open WebUI?
- Both have 0 upvotes.
- What does each maker say LM Studio and Open WebUI are for?
- LM Studio: Desktop app for running local LLMs, including the Bionic agent, with optional cloud inference. Open WebUI: Self-hosted AI chat interface supporting Ollama and OpenAI-compatible APIs.
LM Studio alternatives·Open WebUI alternatives·All productivity tools