How much does an AI agent cost per month?

The short answer: an AI agent costs $9 to $37 a month if you buy an automation builder and configure it yourself, $149 to $500 a month if you buy an agent that completes tasks end to end from a brief, and $180 to $3,750 a month or more for a specialist platform like a dedicated AI SDR. The plan price is only half the number, though. Most vendors meter something (credits, actions, activities, seats), so your real monthly bill depends on how hard you use the thing.

The three price bands, and what separates them

People compare AI agents the way they compare phone plans, which is why so many buying decisions go wrong. A $9 tool and a $149 tool in this category are not the same product at two prices. They are different products, and the gap between them is who does the work of making it work.

The cheapest band is automation builders. Make starts at $9 a month for 10,000 credits, Zapier Agents Pro is $400 a year, which works out to $33.33 a month for 1,500 activities, and Gumloop Pro sits around $37. These are genuinely powerful and genuinely cheap, because they hand you a canvas. You scope the workflow, connect the apps, test the edge cases and then own it forever. The software is $9. Your time is not.

The middle band is agents that do the job. You describe an outcome in plain English and it runs every step and hands back a finished result. That runs $149 to $500 a month, which is where WorkAgent sits at a flat $149. Lindy is $49.99, $99.99 and $199.99 for its Plus, Pro and Max plans, against a usage allowance the vendor does not publish as a unit.

The top band is specialists. A dedicated AI SDR platform starts near $180 a user and runs into the thousands, with 11x at $3,750 a month. Enterprise agent platforms increasingly publish no price at all: Relevance AI's own pricing page now shows only Enterprise, and CrewAI Enterprise is sales-led. When a vendor stops publishing, assume you are in a category priced for companies with a procurement process.

What you are really comparing against

Almost nobody buying an AI agent for a small business is choosing between two agents. They are choosing between an agent and a person, or between an agent and the work simply not happening. That reframes the math.

A US executive assistant has a median salary of $76,590 a year according to the Bureau of Labor Statistics. A junior hire runs $45,000 to $70,000 before you count payroll taxes, software seats and the senior time spent managing them. An offshore virtual assistant is $800 to $2,000 a month and needs clear instructions and a time zone overlap. Against any of those, a few hundred dollars a month is not a close call on price.

It is a close call on scope, which is the part vendors gloss over. An agent covers the scripted, information-heavy portion of a role: research, list building, data entry, reporting, first-draft email. It does not cover judgment, relationships or unscripted exceptions. So the honest comparison is agent versus part of a role, not agent versus a person. Teams that get this right delay a hire or free up an existing one. Teams that get it wrong cut headcount, discover the rework costs more than the salary saved, and rehire.

The meter matters more than the plan price

Here is the question worth more than any feature comparison: what exactly counts as one billable unit, and what happens when I run out?

Credit-based pricing is now the default in this category, and for a defensible reason. Every agent run consumes model tokens, and a complex task can cost the vendor many times what a simple one does. Credits pass that variability to you instead of the vendor absorbing it. The problem is that a credit is a vendor-defined unit that is very hard to forecast. One task might burn one credit or forty depending on how many steps it took and how many rows it touched.

Relevance AI is the sharpest illustration. Since September 2025 it runs two meters at once: Actions for task runs and Vendor Credits for the underlying compute, billed separately, with overage at $40 per 1,000 actions and $20 per 10,000 credits. Nothing there is hidden. But a plan that looks like $19 a month has two counters running against it, and no buyer can predict either one from a demo.

The practical failure mode of metered pricing is behavioral rather than financial. The month you have a big campaign, a hiring push or a data cleanup is the month the counter runs hottest, so people quietly stop delegating to protect the budget. A tool you are afraid to use is worth nothing. That is the whole argument for flat pricing, and the reason WorkAgent does not meter at all.

Do not forget the costs that are not on the pricing page

Three line items get left out of almost every comparison. The first is setup time. A builder that costs $9 a month and takes twelve hours to configure properly is not a $9 decision. Price the hours of whoever on your team ends up owning it, and be honest that it will be the person who is already the most overloaded.

The second is maintenance. Connectors break, APIs change and edge cases appear. Whoever built the workflow becomes the only person who can fix it, which is fine at a fifty-person company and a real risk at a twelve-person one.

The third is the software you are already paying for. Before adding another monthly line item, it is worth running an honest pass over what your existing SaaS and cloud spend actually goes to, because most small teams find at least one seat-based tool nobody has opened in a quarter. Plenty of AI agent purchases can be funded entirely out of subscriptions that were already dead.

How to pick a price model for your situation

If your usage is low and steady, per action or per credit pricing is genuinely cheaper and you should take it. If your usage is spiky or you cannot predict it, which describes most small businesses, flat pricing is worth paying a premium for.

If you go metered anyway, run a real month before committing to an annual plan, and check two things in the contract: whether unused allowance rolls over, and what the overage rate is. Annual discounts in this category are large, often around a third off, and vendors lean on them precisely because the first month is the one where you have no idea what your consumption will look like.

And check the numbers yourself before you sign anything. Motion repriced its entire plan structure inside a single week in July 2026, which is a useful reminder that every figure in every roundup, including this one, has a shelf life. Our full AI agent pricing breakdown lists what each vendor charges and what each one meters, with the date it was checked. If you want the flat-price version specifically, the AI employee pricing page covers what is included.