NextChat vs Open WebUI
A side-by-side comparison of two self-hosted ai chat uis options — licensing, setup difficulty, resource needs, and what each one replaces.
| Feature | NextChat | Open WebUI |
|---|---|---|
| Deploy effort | ≈5-minute setup | ≈5-minute setup |
| Health score | 89 · Excellent | 100 · Excellent |
| Category | AI Chat UIs | AI Chat UIs |
| License | MIT | BSD-3-Clause |
| Language | TypeScript | Python |
| Setup difficulty | Easy | Easy |
| Min. RAM | 512 MB | 2,048 MB |
| Deployment | docker, binary, one-click | docker, kubernetes, helm |
| GitHub stars | ★ 88,805 | ★ 152,860 |
| First released | 2023 | 2023 |
| Replaces | ChatGPT | ChatGPT, Poe |
What are NextChat and Open WebUI?
NextChat
NextChat, formerly ChatGPT-Next-Web, is a lightweight and fast AI assistant supporting web, desktop, and mobile. It works with multiple model providers and can be deployed in seconds to platforms like Vercel or Docker.
- One-click deploy
- Cross-platform apps
- Prompt templates
- Multi-provider support
Open WebUI
Open WebUI is an extensible, offline-capable web interface for interacting with local and remote LLMs. It supports Ollama and any OpenAI-compatible API, with chat history, RAG document uploads, multi-user accounts, and a plugin pipeline system.
- Polished ChatGPT-style UI
- Built-in RAG and web search
- Multi-user with roles
- Model and prompt management
NextChat vs Open WebUI: key differences
NextChat is written in TypeScript, while Open WebUI is built with Python. Licensing differs — MIT for NextChat versus BSD-3-Clause for Open WebUI. NextChat is the lighter option, starting around 512 MB of RAM against 2,048 MB for Open WebUI.
Last reviewed Aug 26, 2026 · 617 words
The RAM figures give the game away: NextChat idles happily in 512 MB because it's a thin client for other people's model APIs, while Open WebUI asks for 2 GB because it's a whole AI workspace — accounts, document storage, RAG indexing, plugins. Both replace the ChatGPT interface, both are Easy-rated deploys, and 88,653 versus 149,927 stars says the community rates both highly. But one is a window and the other is a building, so the comparison mostly resolves to how much building you want.
NextChat: bring keys, get apps everywhere
NextChat (MIT, TypeScript, formerly ChatGPT-Next-Web) assumes you hold API keys for providers — OpenAI, Anthropic, Google, and other compatible endpoints — and gives you one fast interface over all of them, with prompt templates and per-conversation model switching. Its distinguishing feature is reach: alongside Docker it offers a one-click Vercel deploy and genuine desktop and mobile builds, so the same assistant follows you across devices without a browser tab. The trade-offs are structural, not bugs: it's single-user by design, and without provider keys it does nothing. Pay-per-token pricing means a light chat habit often costs less than the electricity for local inference, which is an unfashionable but true argument for this architecture.
Open WebUI: the front end that grew into a platform
Open WebUI (BSD-3-Clause, Python) started as an Ollama UI and became the default self-hosted chat platform: multi-user with role-based access, chat history, RAG over uploaded documents, web search, model management, and a pipelines system for custom plugins. It speaks to Ollama and to any OpenAI-compatible API, so it happily fronts local and cloud models in the same picker. It's offline-capable, development is very active, and the catalogue's one listed con is fair — the feature set can feel overwhelming when all you wanted was a chat box. Weekly releases also mean the UI you learn this month gets rearranged next month.
Deployment notes worth knowing upfront
Open WebUI runs from ghcr.io/open-webui/open-webui:main on port 8080 with a volume at /app/backend/data; the first account you create becomes the admin, so register before you share the URL. If Ollama runs on the host rather than in compose, add --add-host=host.docker.internal:host-gateway and point OLLAMA_BASE_URL at it — this is the number-one "no models found" cause. NextChat's Docker setup is comparably simple (an API key and optional access password as environment variables), and the Vercel path means you can run it without owning a server at all — though then you're self-hosting in name only.
Decision table
| You | Pick |
|---|---|
| Running local models via Ollama | Open WebUI |
| Family or team needs accounts and roles | Open WebUI |
| RAG over your own documents | Open WebUI |
| Solo, cloud API keys, want native apps | NextChat |
| 512 MB VPS or the smallest possible footprint | NextChat |
| Want one UI over local and cloud models | Open WebUI |
What I'd do
For almost everyone reading a self-hosting site, Open WebUI next to Ollama is the answer — it's the pairing the whole chat UI category gets measured against, and the multi-user and RAG features are the ones you grow into rather than out of. I'd reach for NextChat in one specific situation: no local models, a couple of paid API keys, and a wish for a private, fast chat app on desktop and phone. That user gets more from NextChat's 512 MB than from Open WebUI's platform, and nothing stops you running both against the same keys to check.
Why pick each one
Choose NextChat if…
- Very lightweight
- One-click Vercel deploy
- Desktop and mobile builds
Watch out for
- Provider API keys required
- Single-user focused
Choose Open WebUI if…
- Very active development
- Works with many backends
Watch out for
- Feature set can feel overwhelming
Frequently asked questions
Is NextChat or Open WebUI better?
Neither is universally better. Open WebUI has the larger community; both share a easy setup difficulty, so the decision comes down to features and licensing.
Are NextChat and Open WebUI free and open-source?
Yes. NextChat is licensed under MIT and Open WebUI under BSD-3-Clause. Both can be self-hosted at no software cost.
Can I run NextChat and Open WebUI with Docker?
NextChat: yes. Open WebUI: yes.
Which is lighter on resources, NextChat or Open WebUI?
NextChat has the smaller minimum footprint at 512 MB of RAM, compared to about 2,048 MB for Open WebUI. Real-world usage depends on library size, user count, and enabled features.