GitHub Actions vs GitLab CI: Seat Costs and CI Minutes

For a ten-person team running private Linux builds, GitHub Team can cost less than GitLab Premium even after GitHub Actions exceeds its included minutes. The decision turns on paid seats as well as runner usage: GitLab Premium’s larger compute allowance does not guarantee a lower bill when the team pays much more for seats. Runner size and pipeline design can change the result, so the comparison starts with a defined workload.

Use ten paid users and standard hosted Linux jobs as the baseline. GitHub Team pricing lists $4 per user per month and 3,000 included Actions minutes, making the seat line $40. GitLab.com pricing lists Premium at $29 per user per month, billed annually, with 10,000 compute minutes; that is a $290 monthly seat equivalent. Additional GitLab compute costs $10 per 1,000 minutes.

Which minutes are included?

The allowance attaches to the account or top-level group, not to every paid developer. Adding people raises the subscription cost without automatically raising either allowance. The modeled jobs run in private projects, where hosted-runner usage draws on the plan’s minutes.

GitHub’s Actions billing rules price extra time on a standard two-core x64 Linux runner at $0.006 per minute and charge for larger hosted runners even while an included allowance remains. GitHub attributes usage to the repository owner rather than the person who triggered a workflow. Jobs on the team’s own runners incur no Actions usage charge, although the team still supplies and operates the machines.

Three workloads for the same ten-person team

Each scenario is hypothetical and uses standard hosted Linux runners, with every job minute counted once. The totals separate subscription seats, hosted compute purchased beyond the plan allowance, and self-hosted infrastructure. The infrastructure line is $0 because these cases use hosted runners; storage, taxes, and other paid add-ons are excluded. Parallel jobs contribute their own durations even if the pipeline finishes sooner than their combined runtime.

Small: 1,600 job minutes a month

GitHub Team: $40 seats + $0 hosted overage + $0 self-hosted infrastructure = $40 monthly total.
GitLab Premium: $290 seats + $0 additional compute + $0 self-hosted infrastructure = $290 monthly equivalent on an annual subscription.

Both allowances cover the workload, leaving the seat bill to decide the cost comparison.

Medium: 8,800 job minutes a month

GitHub Team: $40 seats + $34.80 hosted overage (5,800 minutes × $0.006) + $0 self-hosted infrastructure = $74.80 monthly total.
GitLab Premium: $290 seats + $0 hosted compute beyond quota + $0 self-hosted infrastructure = $290 monthly equivalent on an annual subscription.

One way to produce this workload is a hypothetical 50 builds per working day over 22 days, with eight runner minutes per build. GitLab Premium absorbs all 8,800 minutes inside its allowance; GitHub Team pays for the 5,800 minutes above its quota. The higher included figure still leaves GitLab’s ten-seat total $215.20 above GitHub’s modeled total.

High: 30,000 job minutes a month

GitHub Team: $40 seats + $162 hosted overage (27,000 minutes × $0.006) + $0 self-hosted infrastructure = $202 monthly total.
GitLab Premium: $290 seats + $200 for 20 extra 1,000-minute packs + $0 self-hosted infrastructure = $490 modeled monthly total.

The 20,000-minute GitLab shortfall fills whole packs exactly; a smaller remainder would still require another pack. The example assumes those packs are bought in the illustrated month. The $490 combines an annual plan’s monthly seat equivalent with that month’s pack purchase.

Runner size changes the consumption rate

GitLab’s compute-minute rules assign its small Linux x86-64 runner a cost factor of 1, medium Linux a factor of 2, and large Linux a factor of 3. The factor multiplies job duration before minutes are deducted from a top-level namespace’s quota. It represents allowance consumption rather than a per-minute dollar price.

Hold job duration constant for a sensitivity check: the medium workload’s 8,800 actual job minutes would consume 17,600 GitLab compute minutes on medium Linux. Premium would then need 7,600 more compute minutes, requiring eight packs for $80 and bringing the modeled monthly total to $370. Actual jobs could finish faster or slower on a different machine, so this is a fixed-duration calculation rather than a measured performance result.

GitHub prices hosted runners by operating system and processing power; larger runners need their own rate and cannot use the standard-runner allowance. Mixed-OS pipelines therefore need separate job-duration and runner-rate lines.

Self-hosting replaces overage with an infrastructure bill

On GitHub Actions, running the modeled jobs on the team’s own machines removes the hosted-minute charge. The GitLab compute FAQ says jobs on customers’ own runners do not count against the GitLab.com compute-minute quota. Keeping the paid plans makes the monthly expressions $40 plus GitHub runner infrastructure and $290 plus GitLab runner infrastructure, with the latter seat amount still tied to annual billing.

The avoidable hosted expense is a comparison point, not a quoted self-hosting price. In the medium case, those charges are $34.80 for GitHub and $0 for GitLab; in the high case, they are $162 and a $200 pack purchase. Machines, maintenance, and enough concurrent capacity to meet build demand determine whether either switch saves money. Existing infrastructure can change that calculation, but it cannot make the paid seat commitment disappear.

Pipeline shape and the purchase decision

Job count and runtime can matter more than a displayed pipeline duration. A workflow that runs lint, tests, and packaging in parallel consumes each job’s runner time; a failed job still uses the time it ran, and reruns add more. The relevant workload is the sum of billable job durations on each runner class, including the effects of pushes, pull requests, scheduled jobs, and retries.

In these three ten-seat Linux cases, GitHub Team has the lower modeled total. GitLab Premium may still be a rational choice when its collaboration or advanced CI features justify the seat subscription, especially if that subscription is already budgeted. A team that does not need paid features should model the free tiers separately because their allowances and user limits differ. For a purchase decision, keep seats, hosted runner usage, and self-hosted infrastructure as distinct lines.