GitHub Actions vs GitLab CI: Cheap Minutes Can Lose to Seat Pricing

For a team paying for ten developer seats and running small Linux jobs, GitHub Team can cost less than GitLab Premium even when Premium covers every build minute. GitHub Team pricing is $4 per user per month with 3,000 included Actions minutes, making ten seats $40. GitLab Premium pricing is $29 per user per month, billed annually, with 10,000 included compute minutes and additional compute sold for $10 per 1,000 minutes; ten seats have a $290 monthly equivalent.

The useful comparison is the full team bill, not the price of an extra runner minute. Start with the plan each team needs, then account for hosted jobs by operating system, storage, any runners the team operates itself, and the work required to keep or move its pipelines. Included compute matters most when it offsets costs the team would otherwise pay.

What the included minutes actually cover

For private repositories, GitHub's Actions billing rules price standard two-core Linux time beyond the allowance at $0.006 per minute, Windows at $0.010 and macOS at $0.062. The Team plan also includes 2 GB of storage shared by Actions artifacts and GitHub Packages; excess shared storage costs $0.25 per GB-month. Cache has a separate 10 GB allowance per repository. Larger GitHub-hosted runners are charged even when standard-runner minutes remain.

GitLab's compute-minute rules multiply each job's running time by a runner cost factor: default small Linux uses 1, medium Linux 2, beta Windows medium 1 and beta macOS M1 medium 6. The jobs are added together, including jobs that run at the same time. A pipeline's elapsed time can therefore be much shorter than the compute it consumes.

Those units also describe different runner configurations. Equal job durations in a pricing model do not establish equal build speed on the two platforms. A job that needs more memory, spends time restoring a cache or runs on a different processor may finish at a different time after migration, changing the bill as well as the wait for results.

Three Linux workloads, with seats included

These are hypothetical monthly calculations for private repositories on the paid plans above. Each build has one small Linux job; the month has 22 build days. The estimates exclude storage overage, discounts, taxes, reruns and the cost of operating a runner. They use stated job durations, not measured performance on either platform.

• Four developers, ten six-minute builds a day: The jobs total 1,320 minutes. GitHub Team costs $16 for seats and nothing for hosted compute within its allowance. GitLab Premium costs $116 for seats and nothing extra for compute. At this size, eligibility for a free plan could make either paid-plan comparison beside the point if its features and limits suffice.
• Ten developers, fifty eight-minute builds a day: The 8,800 job-minutes leave 5,800 minutes above GitHub Team's allowance. Its modeled bill is $40 for seats plus $34.80 for runners, or $74.80. The workload fits within GitLab Premium's allowance, but its seats still cost the monthly equivalent of $290. The difference is $215.20 before storage and other costs.
• Ten developers, one hundred ten-minute builds a day: The 22,000 job-minutes put GitHub Team's modeled bill at $40 for seats plus $114 for runners, or $154. GitLab Premium needs 12,000 additional compute minutes, adding $120 to its $290 seat equivalent for a $410 total. Purchased compute is a separate cash expense, so its validity and any unused balance matter when comparing actual invoices.

For these particular paid plans and small Linux jobs, more build volume alone does not overturn the seat-cost result. At the point where Premium's included compute runs out, GitHub Team's modeled seat-and-runner total is still below Premium's seat cost. Beyond it, the listed Linux overage rate also rises more slowly than GitLab's compute add-on rate. Premium can still be the better overall purchase when its collaboration or support features replace other spending.

Operating systems and parallel jobs move the bill

A single blended minute rate conceals the workload mix. Suppose both plans have already used their included compute, and the next jobs take 1,000 Windows minutes and 500 macOS minutes. At the stated GitHub rates, those jobs add $41. Under the stated GitLab factors, the same assumed durations consume 4,000 compute minutes: 1,000 from Windows and 3,000 from macOS M1. That would require $40 of additional compute blocks. The runner charges are close in this example, while the paid-seat costs remain far apart.

The example depends on those jobs taking the same time on the chosen runners and on the beta GitLab runner types being suitable for the team. A more reliable estimate separates Linux, Windows and macOS jobs and counts each parallel job. If several test jobs run concurrently, their combined billed time is the relevant quantity, even when a developer sees one short workflow on the clock.

Storage and owned runners are separate costs

Artifacts, packages and caches can change a close comparison without adding a build. As a hypothetical storage line, holding 5 GB of artifacts and Packages throughout a month would put 3 GB above GitHub Team's shared allowance and add about $0.75. Shorter retention would lower that amount because GitHub accrues storage charges over time. GitLab's published storage allowance covers a different mix of repository and related data, so the two storage quotas cannot be treated as identical capacity for artifacts.

Running jobs on machines the team owns avoids the corresponding hosted-compute charges on both platforms. It transfers costs to infrastructure and operations: machines or cloud instances, updates, scaling, access control and time spent diagnosing failures. Those expenses belong on a separate line from paid seats and hosted-runner overage. A zero hosted-compute charge is only useful if the owned-runner work is cheaper or serves another requirement.

Migration work can outlast a monthly saving

Pipeline portability has a labor cost. GitLab's GitHub Actions migration guidance calls for translating workflows into GitLab CI/CD configuration and revisiting runners, artifacts, caches, triggers and secrets; it also distinguishes GitHub Marketplace actions from GitLab templates and integrations. An action that currently handles a deployment or test setup may need a replacement, a new configuration or ongoing maintenance after a move.

That makes the existing ecosystem part of the purchasing decision. A team already using Marketplace actions should count the effort to replace them and verify that release behavior stays the same. A team already using GitLab's broader paid features may regard its included CI compute as part of a purchase it would make anyway. Seat cost, runner usage, storage, owned infrastructure and pipeline work each affect the answer; the cheapest runner minute cannot settle it by itself.

Also read:

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• Rotate GitHub Actions Secrets: Precedence Can Leave Old Values Active
• Cursor vs GitHub Copilot: A $10 Gap Hides a Task-Type Split