Guide

GitHub-hosted macOS runners vs a dedicated Mac, costed honestly

The per-minute rate is only the start of the comparison. Hosted macOS runners also charge you for work a warm machine would not repeat, and they cost engineering time in queues. This page compares both options at three realistic usage levels, with every assumption stated.

The assumptions

Hosted macOS billed at $0.062 per minute, the standard runner rate, rounded up per job.
A cold hosted runner spends about 3 minutes per job restoring dependencies and rebuilding what a warm cache would have kept. That is billed time.
A dedicated M4 mini at a flat $119 a month, warm caches, no per-job restore.
Wait time is not billed by GitHub but it is real. Queue for a macOS runner is often a few minutes at busy hours.

Three teams, one month

                       light        steady       heavy
  jobs per month         120          400          900
  minutes per job          8           10           12
  billed on hosted     1,320 min    5,200 min   13,500 min
    incl. cache restore  (360)      (1,200)      (2,700)
  hosted cost           $82         $322         $837
  dedicated M4          $119        $119         $119
  monthly difference   -$37        +$203        +$718

The light team should stay on hosted runners. The steady team saves a couple of hundred dollars a month and gets faster builds. The heavy team is paying for a machine several times over each month and getting a slower one.

Where the hidden minutes come from

Every hosted job starts from a clean image, so it re-downloads SwiftPM packages, CocoaPods and the simulator runtime pieces, then rebuilds DerivedData from scratch. On a real project that is several billed minutes per job before any of your code compiles. On a dedicated machine those artifacts persist, so the second build of the day starts where the first left off.

Speed, not just money

The same warm cache that removes billed minutes removes wall-clock minutes. Teams that move a 12-minute hosted build to a dedicated M4 with a warm cache often see it finish in 4 to 6 minutes. There is no queue in front of it. That is the difference between a pull request checked before lunch and after.

What a dedicated Mac does not solve

Parallel matrices. One machine runs one job at a time. Split the matrix or add units.
Public repositories. Do not run untrusted pull-request code on a machine you care about. Keep those on hosted runners.
Somebody has to run it. Updates, the runner service, wipes. That is what MacRun does for the flat price; on a bare rental it is your job.

Run your own numbers in the calculator, and see the full rate table on the GitHub Actions pricing page.

Frequently asked questions

Is a dedicated Mac always cheaper than GitHub-hosted macOS runners?

No. Below roughly 1,920 macOS minutes a month, metered billing costs less than a flat $119 machine. Above it, the dedicated Mac is cheaper, and the gap grows with usage.

Why do hosted runners bill more minutes than my build takes?

Because each job starts on a clean image and spends billed minutes restoring dependencies and rebuilding caches before compiling. A warm dedicated machine skips that work on every job after the first.

How much faster is a dedicated M4 than a hosted runner?

With a warm cache and no queue, a 12-minute hosted build commonly finishes in 4 to 6 minutes. The exact gain depends on how much of your build is dependency and cache work.

Can I use both at once?

Yes, and many teams do. Run the main-branch build and most pull requests on the dedicated Mac. Keep wide device matrices and public-repository jobs on GitHub-hosted runners.