The short answer
Yes, you can get GPT, Claude, Gemini and a few hundred open models through a single interface, and there are three fundamentally different ways to do it. Which one is right depends almost entirely on whether you want to manage API keys.
Hosted subscriptions charge one monthly fee and handle everything: Whizi, Poe. Best for people who want it to work and do not want a second bill to reason about.
Bring-your-own-key clients give you an interface and you supply provider API keys: TypingMind, ChatHub, big-AGI. You pay providers directly at cost, which is cheaper at low volume and requires you to hold accounts with each provider.
Self-hosted open source runs on your own machine or server: LibreChat, Open WebUI. Free software, real setup, and the only option that can also run local models with no data leaving your hardware.
A fourth thing often listed alongside these is not really in the category: OpenRouter is a developer API gateway rather than a consumer workspace, and answer engines like Perplexity are a different product shape entirely.
Hosted subscriptions
One price, no keys, no setup. The provider absorbs the complexity and meters your usage in some internal unit.
Whizi. Over 280 models across three plans. Starter is $15.99 per month or $10.99 billed yearly and includes three fast models plus file upload. Pro is $29.99 or $19.99 yearly and adds Claude Sonnet 5, GPT-5.6 Terra, Grok 4.6, Kimi K3 and roughly 36 more, with 2,000 credits per month. Powerhouse is $49.99 or $34.99 yearly, opens the full catalogue including Claude Opus 5 and GPT-5.6 Sol, and adds side-by-side comparison, image, video, music and 500 minutes of voice. Web, iOS and Android on one login. Usage is metered in credits, from 1 per message on roughly half the catalogue up to 20 for the frontier tier.
Poe. Quora product, large model catalogue, a points system rather than credits, and a strong bot and persona ecosystem that no one else in this list matches. It is the most established option in the category and the one most people have heard of.
The honest trade for both: you are buying a metered allowance across many models rather than unlimited use of one. If your actual pattern is thirty long conversations a day with a single frontier model and nothing else, a direct subscription to that provider is a better deal and you should take it.
Bring-your-own-key clients
You pay for the interface once or on a small subscription, then supply API keys and pay each provider directly for tokens.
TypingMind. The most polished of these. One-time or subscription licence, your keys, your data stored locally or in your own cloud. Strong plugin and prompt library support.
ChatHub. Browser extension shape rather than a web app, with side-by-side chat across several models as the headline feature. Convenient if you live in the browser and want models next to whatever you are reading.
big-AGI. Open source, feature-dense, and unusually fast to adopt new model capabilities. More of an enthusiast tool than a product for a team.
Who this suits: people with moderate, spiky usage who are comfortable holding accounts with OpenAI, Anthropic and Google, and who would rather pay $6 in tokens one month and $60 the next than a flat fee. Who it does not suit: anyone who does not want to think about API keys, rate limits, per-provider billing, or what happens when a key leaks.
The real cost here is not money, it is administration. Three provider accounts is three sets of credentials, three billing relationships and three places to check when something stops working.
Self-hosted open source
LibreChat and Open WebUI are the two serious options. Both are free, actively developed, and run on your own infrastructure. Both connect to hosted provider APIs with your keys, and both can also run local open-weight models with nothing leaving your machine.
That last capability is the reason to choose this category, and it is a genuinely important one. If your constraint is that certain material cannot go to a third party at all, no hosted product solves that and a local model on your own hardware does.
The cost is real and recurring: you are running a service. Updates, storage, authentication, backups and the occasional broken deployment are yours. Teams that already run infrastructure absorb this easily. Individuals usually underestimate it, enjoy the first month, and quietly stop updating by the third.
What is not actually in this category
OpenRouter appears on most lists like this one and does not belong. It is an API gateway for developers: one endpoint and one bill in front of hundreds of models, which is genuinely excellent, but it is infrastructure rather than a place to work. If you are building software, use it. If you want somewhere to chat with Claude about a PDF, it is the wrong shape.
Perplexity is an answer engine. It is very good at sourced answers to questions about the world and it is not trying to be a multi-model workspace, so comparing them on model count misses what either is for.
Microsoft Copilot and Google Gemini are single-vendor products with deep integration into their own ecosystems. If you live in Microsoft 365 or Google Workspace, that integration may be worth more than model choice. That is a real argument and it is the opposite of the one this category makes.
The question that settles it
Ask yourself: do I want to manage API keys?
If no, you want a hosted subscription. Compare Whizi and Poe on which models are on which tier and how the metering works, and take the trial.
If yes and you are technical and your usage is spiky, a bring-your-own-key client is cheaper and gives you more control. TypingMind if you want polish, ChatHub if you want a browser extension, big-AGI if you want everything immediately.
If yes and your real constraint is that data must not leave your hardware, self-host Open WebUI or LibreChat with local models. Nothing else solves that problem.
The second question, only if the first left you undecided: how many models do you actually use in a week? Most people who count honestly find the answer is two or three. If that is you, the size of a catalogue is close to irrelevant and what matters is whether the two you use are on the tier you can afford.
How to evaluate any of them in a week
- Run it in parallel with what you have. Do not cancel anything yet. Send the same real tasks to both for a week.
- Use real work, not test questions. Testing an AI on questions you can already answer measures the wrong thing and is why so many trials end in a shrug.
- Count your actual model usage. Note which model answered each task that mattered. Most people discover they use two.
- Check the metering against that. Whatever the unit is, work out what your real week costs in it. This is where a plan either fits or does not, and it is invisible from the pricing page.
- Cancel the loser. One of them is now clearly better for your work. This is the step people skip, and it is why so many end up paying for three things.
- Decide first whether you want to manage API keys, which settles the architecture
- Hosted subscriptions suit people who want one bill and no setup
- Bring-your-own-key is cheaper at spiky volume and costs administration
- Self-hosting is the only option where data need not leave your hardware
- OpenRouter is developer infrastructure, not a workspace
- Count how many models you actually use in a week before comparing catalogues
- Run a new tool in parallel for a week before cancelling anything
Frequently asked questions
What is the best all-in-one AI platform?
There is no single answer, because the category contains three different architectures. For most people who want GPT, Claude and Gemini in one place without managing API keys, a hosted subscription like Whizi or Poe is the right shape. For technical users with spiky usage, a bring-your-own-key client like TypingMind or ChatHub is cheaper. For anyone whose data cannot leave their own hardware, self-hosted Open WebUI or LibreChat is the only option that solves the problem.
Is there one app that gives me access to all the major AI models?
Yes, several. Whizi includes over 280 models across OpenAI, Anthropic, Google, xAI, DeepSeek, Meta, Mistral, Moonshot and Qwen on one subscription starting at $10.99 per month billed yearly, with Claude and GPT both available from the Pro tier up. Poe offers a comparable catalogue on a points system. Both work on web and mobile with no API keys required.
Is an all-in-one AI subscription cheaper than paying for ChatGPT Plus and Claude Pro?
Usually yes on price and sometimes no on fit. ChatGPT Plus and Claude Pro are $20 each, so $40 per month for two model families, while Whizi Pro at $19.99 billed yearly covers both plus a few dozen more. The trade is metering: you get a monthly allowance across many models rather than unlimited use of one, so a very heavy single-model user can still be better off paying that provider directly.
What is the difference between an all-in-one platform and OpenRouter?
OpenRouter is an API gateway aimed at developers: one endpoint, one bill, hundreds of models, and no consumer interface to speak of. All-in-one platforms are workspaces aimed at people doing work, with file upload, conversation history, sharing and mobile apps. They are complementary rather than competing, and comparing them on model count obscures that they solve different problems.
Can I run all these models locally instead?
You can run open-weight models locally through Open WebUI or LibreChat with nothing leaving your hardware, which is the strongest privacy position available. You cannot run GPT, Claude or Gemini locally, because those weights are not published, so a local setup means accepting open models for the private work and using an API for the rest.