AI Aggregators: What They Are, What You Actually Buy, and How to Choose in 2026

"Where can I buy access to AI models" is now a more common search than "what is an AI aggregator". People already understand why they want one place with every model in it — what they want to know is what they're paying for and which service to pick. The problem is that nearly every article on the topic is written by the services themselves and ends the same way: "choose us".

This one is written by a service too, and we're saying so up front. So we've built it differently: here's a method you can use to check any aggregator, ours included, plus concrete numbers to compare against.

What an AI aggregator is

An aggregator is a platform that buys model access through official APIs and resells it through one interface and one balance. Instead of five accounts and five foreign-currency subscriptions, you get a single workspace where GPT and Claude answer questions, Flux and Midjourney draw, Veo and Kling make video, and Suno writes music.

The key difference from a VPN workaround: an aggregator doesn't tunnel you to a foreign site. It works with the model providers itself and hands you the result. Hence what people usually want from it — payment in local currency, no foreign phone number, and access without workarounds.

What you're actually buying

This is the industry's central confusion. Searches often read "buy a neural network" or "buy a ready-made AI model" — but you can't buy the model itself: GPT, Claude, and Veo belong to their developers and run on their servers.

What you buy is the right to a certain volume of computation — in credits, tokens, or requests. That volume is then spent on generations: a long answer costs more than a short one, video costs more than an image, an image costs more than a chat message.

One rule follows from this: comparing aggregators by "number of models" is pointless. Fifty models of which you need three are no better than ten that include all three. Compare by the price of your real workload — here's how.

Three payment models and who each suits

Subscription. A fixed monthly sum with a request limit inside, or "unlimited" with honest caveats in the fine print. Convenient under steady daily load. The danger is the month when you generated nothing and still paid.

Pay-as-you-go (credits). You put money on a balance and spend it only on completed generations. This fits uneven load: texts one month, a dozen videos the next, nothing the month after. The downside is having to watch your balance.

Hybrid. A subscription with an included package and overage charges. Read carefully what happens to the unused package at the end of the month — usually it expires.

For most individuals and small teams, pay-as-you-go works out better, simply because real workloads are almost never even. Subscriptions win for people who work with a model for hours every day.

How to compare prices in five minutes: the typical basket method

Comparing published rates directly is useless: one service prices in tokens, another in credits, a third in "requests", and each has its own internal exchange rate. What works instead is pricing the same basket of tasks in real money.

Take your month and turn it into four numbers:

1. how many chat messages (roughly);
2. how many images;
3. how many videos, and how long;
4. how many tracks or voiceovers, if you need them.

Then price that basket on each service and compare only the totals. Three things get tested along the way, and they matter more than the rate card: whether the price is shown before you run a generation, whether the billing unit is comprehensible, and whether the price can change retroactively.

A worked example on our numbers (August 2026, just so you have a baseline): a 600-credit pack costs 499 ₽, which puts a credit at roughly 0.83 ₽. That pack covers approximately 444 pages of text, or 50 images, or 4 video clips, or 45 music tracks — the figures differ by an order of magnitude because the computation behind them does too. Exact per-model prices are on the pricing page and in the workspace itself, before you run anything.

A worked example: one month of a social media manager

Let's price the basket of someone running a couple of social accounts. We'll use the average rates from our pack — about 1.35 credits per page of text, 12 credits per image, and around 150 credits for a finished video clip (the exact price depends on the model, quality, and duration, and is shown before you run it).

Task for the month	Volume	Credits
Post copy and scripts	100 pages	~135
Images for posts	30	~360
Video clips	2	~300
Total		~795 credits ≈ 660 ₽

The same set of tasks through separate subscriptions means a chat service ($20), an image generator ($10–30), and a video service ($30–95) every month — $60–145 regardless of how much you actually generated. Plus a foreign card and top-up fees.

The gap doesn't come from "cheap models" but from the billing scheme: in a month with no video, you only pay for text and images. It cuts the other way too — work intensively in one service every day and a subscription comes out ahead. Which is exactly why you price your own basket instead of trusting someone else's roundup.

Seven criteria — and how to check each one

1. Price transparency. The cost of a specific generation should be visible before you press the button, not after the fact in your billing history. Check: sign up and see whether the interface shows the price up front.

2. How current the model versions are. Aggregators add new versions with a lag — from days to months. Check: look for a model released in the past few weeks. A catalogue stuck on last year's versions tells you how fast the service moves in general.

3. Honest naming. See whether specific versions are named ("GPT-5.6", "Veo 3") or everything is a vague "ChatGPT". The latter often means something simpler under the hood.

4. Payment methods and paperwork. Local cards and instant transfers are the baseline. For business, what matters more is whether you get a receipt and whether the service works with companies. Check the terms and the payment section before topping up.

5. What happens to your balance. Do credits expire, is there a time limit, can unused funds be refunded? Check the refund section of the documents. Its absence is already an answer.

6. Privacy. What the service does with your prompts and uploaded files, whether it stores conversations, whether it trains on them. Check the privacy policy and search it for "training".

7. A support team that answers. The fastest test of all: send a question before paying and time the reply. A service that goes quiet before the purchase is no more talkative after it.

Red flags

• They ask for your password to ChatGPT, Midjourney, or anything else. That's not an aggregator, that's an intermediary with access to your data.
• Pricing "on request" or only after registration and a top-up.
• A promise of "unlimited" with no fair-use caveat anywhere. Computation always costs money — the limit is either buried in the terms or arrives when the service shuts down.
• No legal documents: no terms, refund policy, or privacy policy.
• A catalogue of "300+ models" with no versions named. That count usually includes one model across every resolution setting.
• Payment by transfer to a personal card. No receipt, no refund, no protection.

Aggregator, subscriptions, or your own foreign card

Option	Cost of entry	When it wins	Main drawback
Separate subscriptions	$10–20 per service, monthly	Daily work in one or two services	Needs a foreign card; a quiet month still costs full price
Your own foreign bank card	15,000–30,000 ₽ to arrange via an intermediary	Many foreign services, not just AI	Setup, upkeep, and non-resident blocking risk
Aggregator	0 ₽, pay per generation	Uneven load, several types of task	Missing some native features of the original services

A detailed breakdown of payment routes with fees and risks is in a separate article: how to pay for AI services from Russia.

What an aggregator won't replace

Honestly about the limits, because for some tasks that's the deciding criterion.

An aggregator gives you the models but not the ecosystem around them: the team workspaces of corporate ChatGPT, a specific service's projects and memory, native mobile apps, beta experiments. If you need the original interface with all of its features, buy the subscription and solve payment separately.

The other limit is provider dependency. If a model is temporarily down at the provider, it's down at the aggregator too. A good sign is a service that openly marks such models as unavailable instead of quietly burning credits on failed generations.

What it looks like in practice

Using us as the example — the steps are similar almost everywhere:

1. Sign up with an email, no SMS or foreign number. New users get a welcome bonus of 10 credits to try things out without paying.
2. Pick your task: chat with text models, image generation, video, music, photo animation.
3. Before you run anything, the generation price is shown in credits — you can't go negative.
4. Top up with a MIR card, a Russian bank card, SBP, or YooMoney.

The full list of available models with versions and prices is in the AI catalogue.

FAQ

Can I buy a neural network or a ready-made model?

No. GPT, Claude, Midjourney, and Veo aren't for sale — they run on their developers' servers. What you can buy is access: a volume of computation in credits, or a subscription for a period. "Buying a neural network" in search almost always means exactly that.

How is an aggregator different from a VPN?

A VPN only opens the website; it doesn't solve payment, since a Russian bank card still won't go through and some services demand a foreign phone number. An aggregator works with the models itself and accepts rubles, so no VPN is involved.

Is it legal?

Yes. An aggregator buys model access through official APIs and resells computation — an ordinary reseller arrangement. You're paying a domestic service in your own currency.

Can I pay with a MIR card or via SBP?

Yes, that's the baseline set for Russian aggregators: MIR cards, Russian bank cards, SBP, e-wallets. That's precisely why people look for aggregators — no foreign card required.

Are the models inside the real ones?

With reputable services, yes: access runs through official APIs and the catalogue names specific versions. It's easy to verify — compare the answer to a hard question with what the original service gives, and check whether the aggregator names model versions or hides behind a generic "ChatGPT".

Which is cheaper, an aggregator or subscriptions?

It depends on load. Under dense daily work in a single service, a subscription usually wins. With uneven load and mixed task types — text, images, the occasional video — pay-as-you-go saves noticeably, because an empty month costs you nothing.

Is there free access?

Most services offer a welcome bonus or trial limits — enough to judge quality, not enough to work continuously. Fully free aggregators don't exist: the computation is paid to the provider either way.

What if a model becomes obsolete or gets shut down?

That's easier to absorb with an aggregator than with a direct subscription: the model is replaced in the catalogue by a newer version, while your balance stays yours and works with any other model. With a subscription you'd be signing up somewhere else.