All comparisons
LM Studio vs Ollama vs Open WebUI
Running models on your own machine, for privacy, cost, or offline work. These three are often used together rather than instead of each other.
LM StudioCode Generation | OllamaCode Generation | Open WebUICode Generation | |
|---|---|---|---|
| Tagline | Desktop app for running and chatting with local LLMs on macOS, Windows, and Linux | Run open-source LLMs locally on your machine (Llama, Mistral, Gemma) | Self-hosted AI interface that connects to any model, local or cloud |
| What it does | Run local LLMs on your desktop completely free. Download, run, and chat with Llama 2, Mistral models offline. No API keys needed, full privacy guaranteed. | Ollama is the simplest way to get started with running open-source language models locally on your machine. Free and open source. | A self-hosted AI platform that puts Ollama, OpenAI, Anthropic or any compatible endpoint behind a single interface, extensible with Python tools and MCP. |
| Pricing | Free | Open source | Freemium |
| Pricing details | Completely free | Free and open-source | Free to self-host with the full feature set. Enterprise licensing and support are contact-only with no published price, so price_from and price_to are NULL. Note the licence: from v0.6.6 (April 2025) the BSD-3 licence adds a branding-protection clause, so deployments above 50 users in a 30-day window may not remove Open WebUI branding without an enterprise licence. Code up to v0.6.5 remains BSD-3 and can be forked freely. |
| Price range | From $0/mo | $0 - $100/mo | No pricing page foundChecked 2026-08-28 |
| GitHub stars | Not available | 178,962stars | 150,112stars |
| Language | Not available | Go | Python |
| Last commit | Not available | 19 Aug 2026 | 26 Aug 2026 |
| Category | Code Generation | Code Generation | Code Generation |
| Tags | local-llmdesktop-appoffline-aimodel-runnerchat-interface | local-llmopen-sourceoffline-aillamamodel-runner | self-hostedinfrastructuredeploymentdockeropen-source |
| Website | Visit LM Studio | Visit Ollama | Visit Open WebUI |
LM StudioCode Generation
- Tagline
- Desktop app for running and chatting with local LLMs on macOS, Windows, and Linux
- What it does
- Run local LLMs on your desktop completely free. Download, run, and chat with Llama 2, Mistral models offline. No API keys needed, full privacy guaranteed.
- Pricing
- Free
- Pricing details
- Completely free
- Price range
- From $0/mo
- GitHub stars
- Not available
- Language
- Not available
- Last commit
- Not available
- Category
- Code Generation
- Tags
- local-llmdesktop-appoffline-aimodel-runnerchat-interface
- Website
- Visit LM Studio
OllamaCode Generation
- Tagline
- Run open-source LLMs locally on your machine (Llama, Mistral, Gemma)
- What it does
- Ollama is the simplest way to get started with running open-source language models locally on your machine. Free and open source.
- Pricing
- Open source
- Pricing details
- Free and open-source
- Price range
- $0 - $100/mo
- GitHub stars
- 178,962stars
- Language
- Go
- Last commit
- 19 Aug 2026
- Category
- Code Generation
- Tags
- local-llmopen-sourceoffline-aillamamodel-runner
- Website
- Visit Ollama
Open WebUICode Generation
- Tagline
- Self-hosted AI interface that connects to any model, local or cloud
- What it does
- A self-hosted AI platform that puts Ollama, OpenAI, Anthropic or any compatible endpoint behind a single interface, extensible with Python tools and MCP.
- Pricing
- Freemium
- Pricing details
- Free to self-host with the full feature set. Enterprise licensing and support are contact-only with no published price, so price_from and price_to are NULL. Note the licence: from v0.6.6 (April 2025) the BSD-3 licence adds a branding-protection clause, so deployments above 50 users in a 30-day window may not remove Open WebUI branding without an enterprise licence. Code up to v0.6.5 remains BSD-3 and can be forked freely.
- Price range
- No pricing page foundChecked 2026-08-28
- GitHub stars
- 150,112stars
- Language
- Python
- Last commit
- 26 Aug 2026
- Category
- Code Generation
- Tags
- self-hostedinfrastructuredeploymentdockeropen-source
- Website
- Visit Open WebUI
Which should you pick?
Ollama is the runtime and the one to start with: a single command pulls and serves a model, and most other local tooling expects it to be there. LM Studio wraps a similar capability in a desktop GUI, which matters if you would rather not live in a terminal. Open WebUI is not really a competitor to either, it is a browser front end you point at a runtime you already have. A common setup is Ollama underneath and Open WebUI on top.