An AI aggregator is one app with a single login and one bill that pulls in models from several companies, like Anthropic's Claude, Google's Gemini, and OpenAI's GPT. You pick the model you want each time you ask something, and you're free to change it up whenever you like.
I made one, so I'm not exactly objective. It's called ChatFuse, and it gets you more than 100 models at $20 a month. I'll still be honest about the other options, though, since most posts about this come from companies pushing their own thing.
Who is an AI aggregator for?
It depends what you're calling an aggregator, since the word means different things to people. Sometimes it's just a chat app that lets you pick which model you use. Other times it's a service that gives developers API access to many models. Both count, but they're for completely different users. Who it's built for matters a lot more than the name it uses.
The reason you'd want either one is simple: you don't need separate accounts for Claude, GPT, Llama, and Gemini. You get to all of them from one spot.
How does an AI aggregator work?
When you ask a question, the app sends it straight to the company behind whichever model you chose, using their standard API. The answer comes right back to you in the app. To the model company, it just looks like any other API call.
The way these apps measure usage really sets them apart. ChatGPT Plus goes by messages. But most aggregators use a credit system, since asking a big, powerful model costs them a lot more than a small, fast one. If you want the specifics, we broke down how credits stack up against token pricing. You can also see exactly what each provider charges underneath it all in our API pricing comparison.
What are the types of AI aggregator?
There are 3 types: services that roll many models into a single subscription, apps where you supply your own API keys and pay each company directly, and API aggregators that give developers one single endpoint for everything. The product concept is the exact same for all of them. The person who actually buys it isn't.
Bring your own key works if you're okay handling API accounts and keeping an eye on spending. TypingMind's documentation says the fee you pay them covers their app, and you still pay the model companies directly for your usage. If you don't use it much, your cost can be near zero. But if you use it a lot, your bill can get high quickly since you're the only one managing it.
Services like OpenRouter that handle APIs aren't meant for regular chatting. They charge you the model cost plus a 5.5% fee on card payments. That's a solid option for a developer, but it's not what most users want.
For the rest of us, a single monthly fee solves the real problem: can I quit paying for 3 different AI subscriptions?
How much does an AI aggregator cost compared with separate subscriptions?
Most of these services run around $20 a month. That's what you'd pay for just one of the big standalone subscriptions. If you got Google AI Pro, ChatGPT Plus, and Claude Pro on their own, you'd be looking at $59.99 total every month. So getting all 3 separately costs 3 times more than a single aggregator plan. These are the official US prices straight from each company.
On a monthly plan, you'd pay $719.88 a year just for those 3. Paying annually for Claude Pro cuts it to $17 a month with $200 paid once. But OpenAI's help center states that ChatGPT Plus doesn't have an annual option. ChatFuse costs $20 each month for 20M credits, or you can pay $150 for the whole year. That's $12.50 monthly. A 7 day trial gives you 5M credits to start. All the details are on our pricing page. The table below shows these prices together.
You aren't paying for the same experience, though. $20 at OpenAI gets you a fixed number of messages for their own models. But put that same $20 into an aggregator, and you get a credit pool that works across every model they offer. If you use one model all the time, that company's own subscription might get you more of it. But most people don't use AI like that, and that's how you weigh the options.
What do you give up with an AI aggregator?
You lose the special features that come from using a product in its original home, like having Gemini built right into Gmail and Docs. Nobody else can give you that. And your credits get spent from a single, shared pot for every model, so a long conversation on a high cost model will eat through your balance a lot quicker than the same talk on a cheaper one.
That's only right, because it costs the provider more to supply that expensive model. It just means you need an aggregator that isn't set up to automatically use the most costly option for every single task.
What you keep is the actual model. If you use GPT-6 Astra through an aggregator, it's still the exact same GPT-6 Astra, coming from the same source, delivered the same way, no matter what app you're using to ask for it.
How do you choose an AI aggregator?
Ask 5 things: which models it gives you, how it counts what you use, if it chooses the right one for you, whether your chat stays together if you swap models, and what it does with your data. A giant list of models doesn't matter much if it's full of old ones nobody wants.
Look at the models first. You need the latest from OpenAI, Anthropic, and Google. A big number on the box isn't useful if it's propped up by outdated versions.
Next, the metering. Does it use credits, messages, or tokens to track usage? Do your credits vanish if you don't use them, and what stops you when they're gone? With ChatFuse, your credits refresh every month, and any extra packs you buy don't have an expiry date.
Then there's routing. A menu with 100 options just means you're guessing. The ChatFuse Orchestrator reads your question and picks the model set up for that task. You can still choose a different one for any single message if you want. You can see how it all connects in our walkthrough of the ChatFuse AI orchestration platform.
Continuity is the one everyone misses. A lot of services restart your chat from zero when you pick a new model. ChatFuse holds your whole conversation above the models. That's how you can switch AI models mid conversation with the next one already knowing what's happened. It's the same idea we talked about for owning your AI context and renting the models.
Last one is your data. Ask if your chats are used for training. ChatFuse doesn't train on your chats. The rest of the details are on our security page.
Is an AI aggregator the same as AI model orchestration?
No. An aggregator hands you the models. Orchestration picks which one answers each time you ask something. You'll see the difference when you forget to switch manually: a menu stays on your last choice, but orchestration makes a fresh decision for every single message.
A plain menu means even a simple question might get routed to the priciest, slowest model, simply because that was the one you used before.
Is an AI aggregator cheaper than ChatGPT Plus?
It's usually about the same price as ChatGPT Plus, around $20 per month, but your subscription now works across several different companies' models. That's a lot less than paying for the top plans from each of them yourself. If you bought Claude Pro, Google AI Pro, and ChatGPT Plus separately, you'd be looking at $59.99 every month.
Can I use GPT and Claude in the same chat?
It's a yes if the service keeps your chat history separate from any one model. That way, you can kick off a conversation with GPT and then pick it right up later with Claude or Gemini, all in one place. The official apps from ChatGPT and Claude can't manage this, since each one is locked to just its own company's models.
Do I need API keys to use an AI aggregator?
You only need keys for the bring your own key type. With a subscription service like ChatFuse, model access comes with your plan. You just sign up and can start chatting right away. API aggregators use keys too, but that's because they're for developers who are connecting models into their own apps.
Is it safe to use an AI aggregator with work data?
You'll get a different answer from every service out there. Don't put in anything private until you know their rules. Find out if they train on your data, how it's encrypted, and who gets to see your chats. We put together a list of the questions to ask an AI vendor that covers all this.
For teams where people are using their own accounts for work, you should look at our article on shadow AI.
Where to start
If you're paying for more than one AI app right now, this is probably for you. Add up your current subscriptions. Then give an aggregator a go.
Start a trial at ChatFuse. Put the same question to Gemini, Claude, and GPT in one thread. See which answer you'd pick.
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