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What changed and why it matters

AI aggregators — tools that promise access to multiple language models or AI services through a single subscription or dashboard — have turned into a crowded category. New entrants launch faster than most buyers can realistically evaluate them, and the marketing language across these products tends to converge on the same three claims: access to every major model, one price, no lock-in. That convergence is exactly why brand recognition is a bad filter for this purchase — when every landing page reads the same way, the words stop telling you anything useful.

The practical problem is that "aggregator" now covers three different kinds of product, and they don't compete with each other so much as serve different jobs: a chat interface that switches between models for side-by-side comparison, an API gateway that routes your code's calls to different providers, and a development platform that lets you build and deploy your own AI-powered application. These solve different problems for different buyers, and picking the wrong category costs more than picking the wrong brand inside the right one. A buyer who needs to ship a product feature and instead signs up for a chat subscription hasn't saved money — they've bought the wrong thing.

That's the gap this guide fills: not a ranking of logos, but a framework for matching the category of tool to the actual job, and a list of the specific details you need to confirm — directly with the provider, not from a comparison chart — before you hand over a card number.

What to look for

Work through these in order. Each one narrows the field faster than the next, so resist the urge to jump straight to pricing before you've answered the first two questions.

• What you're actually buying. Decide first whether you need a chat interface for comparing model outputs, an API layer for routing calls from your own code, or a platform for building and shipping a product. This single decision determines which category of tool you should even be comparing — comparing a chat aggregator against a development platform on price alone is comparing two different products, not two competitors.
• Which models and providers are included, and how stable that list is. Aggregators add and drop providers as commercial deals change behind the scenes. A model list that looks comprehensive on the day you sign up can shrink without notice, and the tool that sold you on breadth of choice may quietly narrow it later.
• How usage is metered. Per-seat, per-request, per-token, and per-compute-unit billing behave very differently once your usage grows past a light, exploratory level. A plan that looks cheap at low volume can become the most expensive option once real usage kicks in, and the reverse is just as common. Know which unit applies before you commit, not after your first invoice.
• Whether you can leave without rebuilding. Check whether your prompts, workflows, or integrations are portable to another provider, or whether switching means starting over from scratch. Lock-in is often invisible until the moment you try to exit, which is the worst possible time to discover it.
• Who you're actually paying and who supports you. Some aggregators bill you directly and handle support themselves; others pass usage through to the underlying provider, which changes who you contact when something breaks, a bill looks wrong, or a model behaves unexpectedly.
• Whether current pricing and limits are published anywhere you can verify them. A vendor that won't state current numbers in writing is telling you something about how often — and in which direction — those numbers move.
• Whether there's a free tier or trial that matches your actual use case. A trial built around light, casual usage tells you little about how the product behaves once you're running it at the volume you actually need. Test with a workload close to your real one, not the demo prompt on the landing page.

Recommended options

These are the three practical categories, not a ranked list of specific vendors, because the details that decide a purchase — exact limits, exact models included, exact price — change often enough within each category that you should confirm them directly before buying rather than trust a comparison chart.

Map each row back to the first criterion from the previous section — what you're actually buying. If you land on chat-style, the rest of the checklist (model list stability, metering, lock-in) still applies, just scoped to a single interface. If you land on a gateway or a platform, those same questions apply to every provider you connect through it, which is why the "who you're actually paying" question matters more as you move down the table: a platform sits between you and several billing relationships at once, not just one.

Chat-style aggregators suit individuals or small teams who want to compare answers from different models without integrating anything into a codebase. The value is in the comparison itself — seeing how two or three models handle the same prompt side by side. Skip this category if your actual goal is putting AI behind a feature your users will touch; a chat wrapper is built for exploration, not for shipping.

API gateways and routers fit teams that already write code against model APIs and want to stop maintaining a separate integration for every provider they use. The pitch is consolidation: one authentication setup, one bill, one place to switch providers if a model underperforms. Skip it if you're not writing code against these APIs at all — you'd be paying for infrastructure you have no use for.

Application platforms like Vercel fit buyers whose real requirement is shipping a working AI feature — a chatbot, a search tool, an internal assistant — rather than just accessing models in the abstract. This category asks more of you upfront: you're building something, not just subscribing to a dashboard, so there's development work involved that the other two categories don't require. It's the right fit when "AI aggregator" was really shorthand for "I need to ship an AI feature into a product and don't want to stitch every piece together myself." Skip it if you have no intention of building anything and just want a place to chat with several models — that need is better served by the first category on this list.

If you're weighing a platform against a gateway specifically, the deciding question is where the finished thing lives. A gateway assumes you already have an application and just want a cleaner way to call several models from it. A platform assumes you don't have that application yet, or need somewhere to host and run the one you're building alongside the model access itself. Confusing the two is a common source of buyer's remorse: teams pick a gateway expecting hosting included, or pick a platform expecting a drop-in replacement for an API client they already have.

Common mistakes

• Comparing sticker price before checking the metering model. A low headline price on a per-seat plan can end up costing more than a usage-based plan once your actual volume shows up, and the reverse happens just as often. Price only means something once you know what unit it's attached to.
• Assuming "aggregator" means unlimited access. Every option on this list meters usage somehow. The real question is which unit it's measured in — seats, requests, tokens, compute — not whether a limit exists at all.
• Skipping the export question until it's too late. Buyers typically find out they're locked in only when they try to leave, at which point the switching cost is no longer theoretical — it's the project sitting in front of them.
• Treating a development platform like a plug-and-play subscription. If you pick an application platform expecting the same instant setup as a chat tool, you'll be disappointed; building on a platform takes development work that a chat aggregator simply doesn't require.
• Picking based on the model list alone. A long list of supported models is worth little if the metering, lock-in, and support terms behind it don't fit how you actually work. The list gets you in the door; the other five criteria decide whether you should stay.
• Not verifying numbers before buying. Pricing and limits in this category change often enough that a comparison you read a few months ago isn't reliable today. Before you commit to a plan, [check Vercel's current pricing](See current pricing at the merchant) so the choice you make is based on what's actually offered right now, not on outdated marketing copy or a stale spreadsheet.

The decision comes down to matching the category to the job in front of you: pick a chat aggregator if you're comparing outputs, a gateway if you're already coding against multiple providers, or a platform if you're shipping a feature into a real product. Get that category right first, and the specific vendor choice inside it gets much easier, because at that point you're comparing like with like instead of guessing between three different kinds of tool. Whichever category you land on, treat the checklist in the second section as non-negotiable — skipping any one of those six questions is how buyers end up back on this page a few months later, shopping for a replacement instead of a first choice.