# GitHub Actions vs GitLab CI vs Jenkins, and how to actually pick

Source: https://www.techinterview.org/post/3233476385/github-actions-vs-gitlab-ci-vs-jenkins/
Updated: 2026-07-15 · techinterview.org

The right CI/CD tool is almost always the one already bolted to wherever your code lives. If your repos sit on GitHub, Actions has a gravitational pull that's hard to argue against. On GitLab, the pipelines are already there, already paid for as part of the plan you're on. Jenkins is what you reach for when neither default fits, or when you need control that a hosted product won't hand you.

That framing gets you most of the way to a decision. The rest is money, scale, and how much of a platform team you can point at the problem. I've run all three on real projects, and the differences that decide things in practice are rarely the ones the marketing pages open with.

## GitHub Actions: the default that's hard to beat

You drop a YAML file in `.github/workflows`, push, and a pipeline runs. No server to stand up, no agent to register. For a team already on GitHub, that zero-to-green time is the whole pitch, and it holds up. Pull request checks, status badges, required checks before merge, and deployment environments all wire together without any glue code. The Marketplace has a prebuilt action for almost anything you'd want to do, so a lot of pipelines are twenty lines of "use this, then that."

The free allowance is generous enough that small teams rarely think about billing at first: public repositories get unlimited standard-runner minutes, and private repos on the Free plan get a monthly pool of included minutes (2,000 at the time of writing) before metered usage kicks in. That comfort is also the trap. Matrix builds multiply minutes fast (three OSes times four language versions is twelve jobs per run), and macOS runners cost several times what Linux does. A busy repo can quietly turn a rounding-error bill into a real line item.

Two other rough edges are worth knowing before you commit. Local debugging is genuinely annoying: there's no first-class way to run a workflow on your laptop, so the loop is often edit, push, wait, read logs, repeat. The `act` project helps but doesn't perfectly reproduce the hosted environment. And every third-party action you pull in is a piece of code running with access to your secrets and repo, which makes the Marketplace a supply-chain surface. Pin actions to a full commit SHA rather than a floating `@v3` tag, because a tag can be moved under you.

## GitLab CI: one platform, fewer moving parts

GitLab's argument is that the repo, the pipeline, the container registry, the issue tracker, and the security scanning all live in one product with one permission model. You write a `.gitlab-ci.yml` with stages, and for anything past a straight line of jobs you can define a directed acyclic graph so independent jobs start as soon as their own dependencies finish instead of waiting on a whole stage. For teams that hate stitching five tools together, that consolidation is the real draw.

The catch shows up on the hosted runners. GitLab's free tier includes only a few hundred compute minutes a month (400 at last check), which barely covers a single active project. In practice, most serious GitLab shops register their own runners on their own VMs, which makes minutes effectively free and hands you back the maintenance you were trying to avoid. Paid tiers are priced per user (Premium runs around $29 per user each month, with Ultimate higher), so the cost scales with headcount rather than build volume. A forty-person engineering org feels that math differently than a five-person one.

Auto DevOps, GitLab's opinionated build-test-deploy template, is either a fast start or a black box depending on how much you want to know about what's running. It's a reasonable on-ramp for a team without a dedicated DevOps person, and something most of those teams eventually rip out once they need control over the details.

## Jenkins: total control, and someone has to own it

Jenkins is the old reliable that refuses to leave, and for good reasons. It's open source and self-hosted, so it runs anywhere your infrastructure does, including air-gapped networks that hosted SaaS can't touch. The plugin catalog runs past 1,800 entries, which means whatever obscure tool, cloud, or legacy system you need to talk to, someone has probably written the integration. Pipelines are code in a `Jenkinsfile`, either declarative or the older scripted Groovy, and that flexibility lets you express workflows the hosted products would fight you on.

The price of all that control is a person. Jenkins upgrades break plugins, plugins ship security fixes you have to track and apply, the controller becomes a single point of failure the day it falls over, and build agents drift out of configuration until someone reimages them. None of this is hard, but it never stops, and "the Jenkins box" has a way of becoming one engineer's unofficial second job. Teams that succeed with Jenkins treat it as owned infrastructure with a real budget for care and feeding. Teams that fail with it treat it as something that should just keep working on its own.

It's still everywhere. Jenkins holds something north of 40% of the CI/CD market by most counts, even as GitHub Actions has passed it in raw adoption for new projects. If you already run it well, have the plugins you depend on, and need multi-SCM or on-prem builds, walking away from a working Jenkins install is often the wrong move.

## Where the money actually goes

The comparison that trips people up is hosted minutes versus self-hosted infrastructure, because the sticker price and the total cost point in opposite directions. Hosted runners bill by the minute and cost you nothing to operate. Self-hosted runners and Jenkins agents make the compute cheap but load the cost onto VMs, storage, and the engineering hours to keep them healthy. For most teams the crossover point where running your own fleet beats paying per minute sits somewhere around 150,000 to 200,000 build minutes a month. Below that, the hosted option almost always wins once you price in the time you'd spend babysitting servers.

Maintenance, not compute, is what dominates the real bill. An idle self-hosted setup still costs you patch cycles and on-call attention; a hosted setup costs you nothing when no one is pushing. That asymmetry is why small and mid-size teams keep landing on hosted CI even when a spreadsheet of per-minute rates makes self-hosting look cheaper.

One warning on the numbers: GitHub cut its hosted-runner rates at the start of 2026, dropping Linux, Windows, and macOS per-minute prices, and vendors move these figures more often than their docs suggest. Pull the current GitHub Actions and GitLab pricing pages before you model anything, and treat any per-minute rate you read in a blog post (including this one) as a starting point to verify, not a quote.

| CI/CD tool | Hosting model | Pipeline config | How you pay | Best fit | Main weakness |
| --- | --- | --- | --- | --- | --- |
| GitHub Actions | Hosted runners (self-hosted optional) | YAML in .github/workflows | Per-minute after a monthly free pool; macOS priced highest | Teams already on GitHub wanting zero setup | Weak local debugging; Marketplace actions are a supply-chain risk |
| GitLab CI/CD | Self-hosted runners common; hosted available | YAML in .gitlab-ci.yml | Per-user subscription tiers; small hosted free-minute pool | Teams wanting repo, registry, and CI in one product | Stingy hosted minutes; per-user cost grows with headcount |
| Jenkins | Fully self-hosted | Groovy Jenkinsfile (declarative or scripted) | Free software; you pay in infrastructure and engineer time | On-prem, air-gapped, or plugin-heavy legacy pipelines | Constant upgrade, plugin, and agent maintenance burden |

## How to actually pick

For a startup or a small team whose code is on GitHub, use Actions and don't overthink it. The integration is worth more than any feature you'd gain elsewhere, and you can add self-hosted runners later if a big-compute job starts dominating your bill. The one habit to build early is pinning third-party actions to commit SHAs and watching your monthly minutes so a runaway matrix doesn't surprise you.

If you're already a GitLab shop, use GitLab CI and register your own runners from day one rather than fighting the tiny hosted allowance. You get the single-platform benefit you're paying for, and you sidestep the metered-minute anxiety. Budget for the per-user cost as your team grows, because that's where GitLab gets expensive, not the compute.

Reach for Jenkins when a hosted product can't go where you need it: air-gapped environments, strict compliance boundaries, exotic hardware, or a wall of plugins you can't replace. Go in knowing you're signing up to own a service, and staff it accordingly. A Jenkins install with a named owner and a maintenance budget is a fine choice in 2026. A Jenkins install that "someone set up a while ago" is a liability waiting for a plugin CVE.

The teams that regret their choice usually didn't pick the wrong tool. They picked a self-hosted system without staffing the person to run it, or they let a hosted bill grow unwatched until finance asked what a CI vendor was doing on the invoice. Match the tool to where your code already lives, then match your staffing to how much of the machine you decided to run yourself.