Run Your AI Agents on Claude or ChatGPT, On Your Own Subscription

Most AI agent products make two decisions for you: which AI runs your agents, and how you pay for it. They pick one provider and bill you by usage, so every message your agents send and receive is metered. AgentTeams takes a different stance on both. You choose the AI behind your agents, and you can power them with a subscription you already pay for instead of paying as you go.

Your agents can run on Claude or on OpenAI Codex, which is powered by GPT-5.5. You pick the one that fits the work, and you connect the Claude or ChatGPT subscription your team already has. For most teams that run agents every day, that single choice is the difference between a predictable monthly bill and a usage meter that climbs with every conversation.

Two engines, your choice

Claude and OpenAI Codex are both excellent, and they are not identical. Codex, running on GPT-5.5, is exceptional at code: reading a repository, making changes, and working through engineering tasks end to end. Claude is a strong all-rounder that many teams prefer for writing, support, and reasoning over long context. The point is not that one is better. It is that you should not have to marry one of them to use AI agents at work.

With AgentTeams you do not. You can run an engineering agent on Codex and a support agent on Claude, side by side, in the same workspace. This is a real contrast with single-provider tools. Claude Tag, for example, only runs on Claude and bills every channel by usage. That is fine if Claude is all you ever want and a usage meter does not worry you. If you would rather keep your options open, choosing the engine per agent matters.

Bring your own subscription

Here is the part that changes the math: your agents can run on the subscription you already pay for. If your team has a Claude plan or a ChatGPT plan, you connect it, and your agents work against the usage that subscription already includes. You are not opening a new metered account that charges for every message on top of what you already spend each month.

The alternative most platforms push is pay-as-you-go: a usage-based account where every request your agents make adds to a running bill. It is flexible, and for light or occasional use it is genuinely the cheaper option. But for agents that work all day, every day, that meter never stops, and the bill is hard to predict from one month to the next.

Why a subscription wins for steady work

The rule of thumb is simple: subscriptions win for steady, everyday work, and pay-as-you-go wins for spiky or occasional work. An agent handling support tickets, chasing follow-ups, and answering questions throughout the day is the definition of steady work. Put that on a flat subscription and your cost is a fixed line your finance team can plan around. Put the same workload on a usage meter and you pay for every interaction, which adds up quickly once agents are genuinely busy.

Predictability is the underrated half of this. A surprise bill is one of the fastest ways an AI project loses internal support. A flat monthly cost you already understand keeps the conversation about the work the agents do, not the invoice they generated. We wrote more about how the numbers play out in our look at the real ROI of AI agents in 2026, and you can see how it maps to plans on our pricing page.

No lock-in, by design

Choosing your engine and your billing also means you are not locked to one vendor's pricing or roadmap. If one provider changes its terms, raises prices, or falls behind on quality, you can move an agent to the other without rebuilding anything. Your agents, their roles, their directives, their memory, and their connected tools stay exactly as they are. Only the engine underneath changes. That is the kind of flexibility you want from an AI employee platform you plan to rely on for years, not weeks.

When pay-as-you-go is still the right call

We are not against usage-based billing, and neither should you be. If your agents run occasionally, handle bursty spikes, or you are still testing a use case before committing, a usage-based account can be cheaper and simpler than a subscription you might not fully use. AgentTeams supports both, so you can start pay-as-you-go while you experiment and move to a subscription once an agent earns its place in the daily routine.

The bottom line

The best AI for your agents is the one you get to choose, and the best price is the one you can predict. AgentTeams lets you run agents on Claude or OpenAI Codex, pick the engine per role, and power them with the Claude or ChatGPT subscription you already pay for. For teams running agents every day, that is usually far less than a usage meter, and it is a cost you can actually plan around.