Stop Paying $20 a Month: The Definitive List of ChatGPT GUI Alternatives
You probably know the feeling: you're paying for ChatGPT Plus or Claude Pro, but you're only using the API endpoints for a fraction of what you're spending. Or maybe you're a developer who wants to build your own AI-powered app but don't want to build a chat interface from scratch. The problem isn't finding an LLM API—it's finding a decent front-end to talk to it. That's where every-chatgpt-gui comes in. It's a single, curated list tracking every graphical user interface client for ChatGPT, Claude, and other LLM APIs.
What It Does
The project is exactly what the name suggests: a comprehensive, categorized list of front-end GUI clients that let you access LLM APIs without using the official ChatGPT or Claude web interfaces. It's organized by platform—open source web apps, browser extensions, and presumably desktop and mobile options as you scroll further down—with each entry linking to both a live demo (where available) and the source code.
The README positions this as a companion to the author's earlier project, "Every Proximity Chat App," and it follows the same philosophy: if you're going to track something, track it exhaustively. The list includes everything from polished, production-ready apps like LobeChat and BetterChatGPT to minimal single-purpose demos like ChatGPT Minimal and vanilla-chatgpt. There's also a companion guide linked in the README that walks non-technical users through configuring these clients, with the author claiming you can get AI access for around $1.79 a month instead of $20.
Why It's Cool
This isn't a code library you integrate—it's a resource that saves you hours of hunting. Here's what makes it genuinely useful:
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It's a comparison shopping tool. Instead of Googling "best ChatGPT UI" and wading through SEO-optimized listicles, you get a flat, honest directory. Every project has its source linked, so you can check the license, the last commit date, and the code quality before you invest time in setting anything up.
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The demo links are gold. Many entries include live demos, which means you can test-drive an interface before you deploy it. That's a huge time-saver when you're evaluating a dozen options.
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It's community-maintained. The README explicitly invites pull requests to add or remove apps. That means the list stays current, and it's not beholden to one person's taste. If your app is missing, you can add it yourself—there's even a stated alphabetical ordering convention to keep things tidy.
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It exposes the ecosystem's diversity. You'll find forks of forks (like SmoothGPT, which is a fork of ChatGPT UI, and WolfeChat, which is a fork of SmoothGPT), which gives you a fascinating look at how the community iterates on existing work. You also see the range of approaches: browser extensions like chatGPTBox that overlay onto existing pages, full web apps like big-AGI, and even WebLLM, which runs models client-side in the browser.
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The cost angle is compelling. The linked guide's claim—paying roughly $1.79 a month by using API access instead of a subscription—is the kind of concrete benefit that gets developers' attention. The API pricing model means you only pay for what you use, and these GUIs let you tap into that without sacrificing a nice interface.
How to Try It
Getting started is straightforward:
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Browse the list. Head over to the repository and scan the categories. Start with the "Open Source" section under "Web" if you want something you can self-host.
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Check out demos first. For any app that catches your eye, click the demo link. LobeChat, BetterChatGPT, and big-AGI all have live demos that give you a feel for the UX without any setup.
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Pick your favorite and deploy. Most of these are standard web apps. For example, if you like ChatGPT Next Web, you can follow its README to deploy it to Vercel in a few clicks. If you prefer something lighter, ChatGPT Minimal is another Vercel-friendly option.
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Add your own. If you've built a client that's missing, open a pull request. The README asks you to add it under the appropriate category in alphabetical order, and you can request removal the same way.
The author also links a non-technical guide at billmei.net/llm that walks through the configuration process step by step—useful if you're setting this up for someone who isn't comfortable with API keys and environment variables.
Final Thoughts
This project is best for developers who want to avoid monthly subscription lock-in, or anyone building a custom AI tool who needs a starting point for the front-end. It's not a tool you run—it's a map of the territory. The honest, no-frills format means you'll spend less time evaluating options and more time actually using the one that fits. And since the list is actively maintained and open to contributions, it'll only get better as the ecosystem grows. Bookmark it for your next AI side project—you'll likely find something you didn't know existed.
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