What it costs to run an AI agent on Android (and how to make it zero)

AI agents that operate a phone are genuinely useful. Describe a task, watch the agent read the screen, tap through menus, and finish the job. The part nobody puts on the landing page is the meter running underneath: every screenshot the model looks at and every action it plans costs money, and the bill arrives whether the task was novel or the same one it did yesterday.

Below: how agent platforms typically charge, why scheduled tasks are where budgets quietly die, and a cost structure where the AI works once and repeat runs are free.

The three ways agent platforms charge

Most hosted agent products use one of three models, sometimes stacked.

Per minute of device time. You rent a hosted Android environment and pay for every minute the session is open. The clock runs while the agent reasons, but also while an app installs, a loading bar crawls, or a login screen sits idle. Slow apps cost the same as productive ones.

Per token. The platform passes model usage through to you. An agent operating a phone works by looking at screenshots and deciding on actions, and both directions consume tokens. Costs scale with how complex the app is, how many steps the task has, and how often the agent has to look again to confirm what happened. Two runs of the same task can cost different amounts, which makes budgeting a guess.

Per task or per run. A flat price for each completed task, or bundles of runs. Predictable, but the model cost is baked into the price with margin on top, so you are still paying for reasoning on every execution.

All three are reasonable ways to sell compute. They share one property that matters more than the rate card: you pay every time the agent runs.

The hidden multiplier: repetition

Here is the arithmetic that gets skipped. Automation on Android is rarely a one-off. The tasks people actually schedule are the boring recurring ones: collect the daily login reward, clear the quest list, sweep a farming loop, check in on an account. These run every day, sometimes several times a day.

A per-run agent re-derives the plan on every execution. The app did not change overnight, the buttons are in the same places, and the steps are identical, but the model still reads every screen and reasons through every decision from scratch. Run a daily task 30 times a month and you pay the reasoning bill 30 times for the same work.

Put loose numbers on it. Say a single run costs 30 cents in model usage, modest for a multi-step task with screenshots in the loop. One daily task is about $9 a month. Ten daily tasks across a few accounts is about $90 a month, before any device-time charges. The per-run price looked like pocket change; the schedule turned it into a subscription you never signed up for.

A different cost model: explore once, compile, replay

There is a second way to use a model, and it changes the economics completely: treat the AI as the author of the automation instead of the operator.

In this model the agent explores the live app once. It reads screens, tries the flow, and figures out the steps, exactly like a per-run agent would. But instead of stopping at “task complete,” it compiles what it learned into a deterministic macro: image recognition to find buttons, OCR to read values, explicit waits and retries to survive load times. Then it validates the macro by replaying it against the real app.

From that point on, the model is out of the loop. The macro replays the recorded logic directly. No screenshots go to a model, no tokens are spent, no reasoning happens. You paid for intelligence once, during authoring, and the output is an asset you own that runs for free.

This is the model behind MAS Agent in Macro Automation Studio. You describe the task in plain English, the agent explores your emulator or cloud device, builds the macro, and validates it by replay.

A worked example with real numbers

Here is what that looks like on MAS pricing, which is public on the pricing page.

The Individual plan is $5/mo for 1 device. AI usage is metered in credits at 1,000 credits = $1, and credits are spent only when MAS Agent or other AI features run. A finished macro runs at zero credits.

Say you ask the agent to build a daily-reward macro for a game: open the app, navigate to the rewards screen, collect everything, close. The authoring session, exploration plus compilation plus validation replays, spends credits once, against a budget the agent states and you confirm before it starts. A short routine costs less than a long multi-screen flow.

From then on the macro runs every morning at zero credits. Month two costs $5 in subscription and $0 in AI. Month twelve costs the same. Compare that with a per-run agent doing the identical task 30 times a month, forever.

Scaling devices is cheap too: from 2 devices the Individual price is $5 plus $1 per device, so 2 devices is $7/mo and 5 devices is $10/mo.

If you want the automation running with your PC off, add a cloud device: $80/mo, and it includes 20,000 AI credits every month ($20 value), with each monthly allowance living for its month plus a 30-day rollover. A solo user on the $5 plan with one cloud device pays $85/mo, and because finished macros run free, the included 20,000 credits go toward authoring new macros rather than keeping old ones alive. Heavy authors can buy credit packs starting at 10,000 credits; pack credits last 12 months.

When per-run agents still make sense

Compilation is not always the right tool. If the task is a genuine one-off, “book this specific thing today,” there is nothing to amortize, and a per-run agent is the simpler choice. The same goes for exploratory work where the steps change every time, or tasks where the flow itself depends on judgment a fixed macro cannot encode.

The break-even test is repetition. Anything you expect to run more than a handful of times pays for its own authoring cost quickly, and everything after that is free.

FAQ

How much does it cost to run an AI agent on Android? On per-run platforms, whatever the rate card says, multiplied by every execution. The rate matters less than the schedule: daily tasks pay the model roughly 30 times a month.

Why do AI agent costs grow over time? Because recurring tasks accumulate. Each new scheduled task adds its own per-run cost times its run count, so the monthly bill scales linearly even though no single run looks expensive.

How do I make repeat runs cost zero? Compile the agent’s work into a deterministic macro. With MAS Agent you spend AI credits during authoring, then the finished macro runs daily at zero credits, on your own emulator or on a cloud device with your PC off.

Where can I see the full pricing? The complete ladder, cloud device pricing, and credit packs are on the pricing section. Every plan starts with a 3-day free trial.