GitHub Actions vs GitLab CI — which one to pick in 2026?

If your code is on GitHub, use GitHub Actions. If your code is on GitLab, use GitLab CI. That’s the verdict for most teams reading this. Read on if you’re in the other 15%: migrating between platforms, picking a code host for a new org, or deciding whether your current CI choice is costing you money it shouldn’t.

Who this is for

Engineering teams evaluating CI/CD in 2026 — particularly anyone pricing out a platform move, or building greenfield and picking code host plus CI together. If you’re happy on your current platform and have no reason to switch, the migration cost alone settles it: don’t.

What changed in 2026

Both platforms moved significantly since 2024.

GitHub Actions launched a 1-vCPU Linux runner on January 22, 2026 at $0.002/min — a third of the 2-core rate. A self-hosted runner fee of $0.002/min was announced for March 2026, then pulled indefinitely after community pushback. Custom runner image snapshots went GA in April, letting teams bake dependencies into versioned VM snapshots.

GitLab CI reached GA on pipeline inputs (GitLab 17.11), removed the legacy proxy-based DAST analyzer (deprecated 16.9, removed 17.3), and in April 2026 shipped automated SAST vulnerability remediation via GitLab Duo for Ultimate customers. The platform switched SAST from language-specific analyzers to Semgrep throughout 2025.

Neither platform is the same as it was two years ago.

Pricing: the number that usually decides it

The free tiers are not equivalent.

	GitHub Free	GitHub Team	GitHub Enterprise	GitLab Free	GitLab Premium	GitLab Ultimate
Price	$0	$4/user/mo	$21/user/mo	$0 (≤5 users)	$29/user/mo	Custom / contact sales
Linux min/month	2,000	3,000	50,000	400	10,000	50,000
Storage	500 MB	2 GB	50 GB	10 GiB	500 GiB	500 GiB

GitLab Free gives 400 minutes per month. For any project with real commit volume, that’s gone in a few days. GitHub Free gives 2,000 — five times as many — before you start paying.

On paid tiers the math gets more nuanced. GitLab Premium costs $29/user/month for 10,000 included minutes. GitHub Team costs $4/user/month for 3,000 minutes. Additional GitLab minutes run $0.01/min; GitHub Linux 2-core overage runs $0.006/min. Per-minute GitHub is cheaper; per-included-minute GitLab Premium delivers more CI time per dollar once you’re past two or three team members.

For most teams running at scale, self-hosted runners make this comparison irrelevant. Both platforms execute at $0/min on self-hosted hardware — GitHub’s planned fee is shelved.

Runner specs and cold-start

ubuntu-latest on GitHub Actions is Ubuntu 24.04 (migrated from 22.04 in October 2024). Private repo jobs get 2 vCPU, 8 GB RAM, 14 GB SSD. Public repos get 4 vCPU, 16 GB RAM — doubled resources for OSS.

GitLab’s shared runners are Kubernetes-based ephemeral containers. The “Linux small” runner delivers roughly 1 vCPU; GitLab doesn’t publish fixed hardware specs for shared SaaS runners.

Cold-start latency is where the architecture gap shows up. GitHub pre-provisions a pool of warm VMs; your job picks up a machine already running an OS. GitLab’s shared runners spin Kubernetes pods on demand — the container scheduler adds startup overhead before your first line of code runs.

The practical effect: GitHub Actions jobs start faster on shared infrastructure. On pipelines that fan out to many parallel jobs, that startup delta compounds across every commit. Enterprise teams on both platforms can eliminate cold-start entirely with custom runner autoscaling. For teams at free or Team tier on GitHub, the architectural advantage is real — but measure your own workload before treating any third-party benchmark number as ground truth.

YAML syntax: the same pipeline, two ways

Here’s an identical pipeline on each platform — Node.js 20 test, Docker build, push to registry, deploy to staging.

GitHub Actions

# .github/workflows/ci.yml
name: CI/CD Pipeline

on:
  push:
    branches: [main]
  pull_request:
    branches: [main]

jobs:
  test:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
        with:
          node-version: "20"
          cache: "npm"
      - run: npm ci
      - run: npm test

  build-and-push:
    needs: test
    runs-on: ubuntu-latest
    permissions:
      contents: read
      packages: write
      id-token: write
    steps:
      - uses: actions/checkout@v4
      - name: Log in to GitHub Container Registry
        uses: docker/login-action@v3
        with:
          registry: ghcr.io
          username: ${{ github.actor }}
          password: ${{ secrets.GITHUB_TOKEN }}
      - name: Build and push
        uses: docker/build-push-action@v5
        with:
          push: ${{ github.ref == 'refs/heads/main' }}
          tags: ghcr.io/${{ github.repository }}:${{ github.sha }}

  deploy-staging:
    needs: build-and-push
    runs-on: ubuntu-latest
    if: github.ref == 'refs/heads/main'
    environment: staging
    steps:
      - name: Deploy to staging
        run: |
          echo "Deploying ghcr.io/${{ github.repository }}:${{ github.sha }}"
          # kubectl set image deployment/app app=ghcr.io/${{ github.repository }}:${{ github.sha }}

GitLab CI

# .gitlab-ci.yml
image: node:20-slim

stages:
  - test
  - build
  - deploy

variables:
  DOCKER_IMAGE: $CI_REGISTRY_IMAGE:$CI_COMMIT_SHA

cache:
  key:
    files:
      - package-lock.json
  paths:
    - node_modules/

test:
  stage: test
  script:
    - npm ci
    - npm test

build-image:
  stage: build
  image: docker:24
  services:
    - docker:24-dind
  before_script:
    - docker login -u $CI_REGISTRY_USER -p $CI_REGISTRY_PASSWORD $CI_REGISTRY
  script:
    - docker build -t $DOCKER_IMAGE .
    - docker push $DOCKER_IMAGE
  rules:
    - if: $CI_COMMIT_BRANCH == $CI_DEFAULT_BRANCH

deploy-staging:
  stage: deploy
  image: bitnami/kubectl:latest
  script:
    - echo "Deploying $DOCKER_IMAGE to staging"
    # - kubectl set image deployment/app app=$DOCKER_IMAGE
  environment:
    name: staging
    url: https://staging.example.com
  rules:
    - if: $CI_COMMIT_BRANCH == $CI_DEFAULT_BRANCH

The structural differences that matter day-to-day:

Concept	GitHub Actions	GitLab CI
Commands	`run:`	`script:`
Job ordering	Explicit `needs:` graph	Implicit via `stages:` sequence
Variables	`${{ github.sha }}`	`$CI_COMMIT_SHA`
Conditionals	`if: github.ref == 'refs/heads/main'`	`rules: - if: $CI_COMMIT_BRANCH == $CI_DEFAULT_BRANCH`
Caching	`actions/cache@v4` action	Native `cache: paths:` block
Container registry	ghcr.io (separate config)	`$CI_REGISTRY` — auto-injected, zero config

GitLab’s built-in container registry is one of those “small things that aren’t small.” $CI_REGISTRY_USER and $CI_REGISTRY_PASSWORD are auto-injected into every job — nothing to configure. GitHub requires explicit token setup for cross-project scenarios.

If your team deploys to Cloudflare Pages or Workers, both platforms have integrations that handle wrangler deploys as a pipeline step. GitLab’s native environment tracking gives rollback visibility in the MR interface; GitHub’s marketplace has more third-party deploy integrations. For a full breakdown of serverless deployment options that pair with either CI system, see our Cloudflare Workers vs AWS Lambda comparison.

Security scanning: where GitLab wins clearly

This is the clearest product difference between the two platforms in 2026.

Feature	GitHub Actions	GitLab CI
SAST	GitHub Advanced Security (paid) or marketplace	Built-in Free/Premium/Ultimate
Secret detection	GHAS or marketplace	Built-in (Gitleaks-based)
Container scanning	Marketplace actions	Built-in (Trivy-based)
DAST	Marketplace actions	Built-in v5, browser-based (Ultimate)
Dependency scanning	GHAS or marketplace	Built-in (Ultimate)
Auto vulnerability remediation	Not available	GitLab Duo (Ultimate, GA Apr 2026)

GitLab Free includes SAST, secret detection, and container scanning. That’s three categories of security tooling your team gets without writing a marketplace action or paying for an add-on.

GitHub equivalent coverage requires GitHub Advanced Security — a paid add-on for Team and Enterprise. Or you assemble marketplace actions (Trivy for containers, Gitleaks for secrets, Semgrep for SAST), which works but requires maintenance and doesn’t integrate into the PR review interface the way GitLab’s MR widget does.

For teams in regulated industries or where security results need to live in the platform rather than external dashboards, GitLab’s built-in tooling is a decisive argument by itself.

Marketplace vs Component Catalog

GitHub Marketplace has over 10,000 published actions. There is an action for essentially everything: every cloud provider’s deployment, every notification service, every code quality tool, every compliance check. Finding what you need is usually a search away.

GitLab’s Component Catalog is functional but substantially smaller. GitLab maintains roughly 80 official components at gitlab.com/components. Community contributions exist, but the selection is narrower and there’s no public count.

GitLab’s include: template system fills some of this gap — predefined templates for Docker builds, Auto DevOps pipeline stages, and common language setups are well-maintained. But if you’re replacing a GitHub workflow that uses five marketplace actions from different vendors, expect to write equivalents yourself.

This asymmetry matters most during migration. Going from GitHub to GitLab, the YAML rewrite is the tractable part. The hard part is replacing actions that have no GitLab equivalent.

Self-hosting

Both platforms support self-hosted runners on all paid plans, at $0/min.

GitLab has an advantage in the execution model for Kubernetes workloads:

Native Kubernetes executor — first-party, stable, production-grade. GitLab Runner’s k8s support has been in production for years. Setup is well-documented and the autoscaling behavior is predictable.
GitHub’s equivalent — actions-runner-controller (ARC), maintained by GitHub. It works, but it sits at a different abstraction layer. Teams running Kubernetes-native infrastructure typically find GitLab’s executor more natural to operate.

On SSO, GitLab Premium includes SAML at $29/user/month. GitHub requires Enterprise-tier ($21/user/month base, but SAML is enterprise-only). If SSO is a hard requirement, that’s a comparison worth running.

For fully air-gapped deployments, GitLab Self-Managed delivers the entire platform — CI, container registry, issue tracking, merge request workflow — in one installation. GitHub Enterprise Server does the same, but the self-managed feature parity with GitHub.com has historically lagged.

Migration cost

Teams consistently underestimate this by 3–5×.

GitHub Actions → GitLab CI

Every workflow file needs a full rewrite. The YAML is structurally incompatible — needs: vs stages:, run: vs script:, expression syntax vs predefined CI variables. Find-and-replace handles the obvious substitutions; job dependency graphs and conditional logic require real restructuring.

The larger cost is marketplace actions. For each GitHub action your pipeline uses, you either find a Component Catalog equivalent, a GitLab include: template, or write a shell script. Some have 1:1 equivalents; many don’t. OIDC cloud auth syntax changes between platforms.

GitHub provides no official migration tool from GitHub Actions to GitLab CI. GitLab provides migration documentation but no automated importer in this direction.

Rough estimates based on teams that have done this:

5–10 workflows, simple jobs: 2–5 days
50+ workflows with complex marketplace action dependencies: 4–8 weeks

GitLab CI → GitHub Actions

GitHub provides the Actions Importer — an automated tool that generates GitHub Actions workflow files from .gitlab-ci.yml. It converts stages, jobs, variables, scripts, and conditional logic. Masked variables, artifact reports, self-hosted runner configs, and anything the importer can’t parse require manual fixes.

The hidden cost here is security tooling. If your GitLab pipeline relies on built-in SAST and secret detection, you’re replacing that coverage from scratch on GitHub. Budget either for GHAS or for assembling and maintaining marketplace action equivalents.

What you gain moving to GitHub: Marketplace ecosystem depth, faster cold-start, GitHub Copilot integration, simpler onboarding for developers already on GitHub.
What you lose: Built-in security scanning suite, per-project container registry, Auto DevOps, GitLab-native issue and MR workflow.

Verdict

Pick GitHub Actions if:

Your code is already on GitHub — migration cost rarely justifies CI switching alone
You need the depth of 10,000+ marketplace integrations
Cold-start speed matters and you’re not running self-hosted
Your team uses GitHub Copilot and wants native CI integration

If AI coding tools factor into your platform decision, our Best AI Coding CLI 2026 round-up compares Copilot, Claude Code, and Gemini CLI in depth.

Pick GitLab CI if:

Your code lives on GitLab (self-managed or GitLab.com)
You need DevSecOps coverage (SAST/secret detection/container scanning) without extra licensing spend
You run Kubernetes-heavy infrastructure and want a native runner executor
SAML SSO is required and you don’t want to pay Enterprise pricing
You operate in a regulated or air-gapped environment requiring full self-managed deployment

The code residency argument isn’t inertia — it’s the honest math. The platform where your code lives already has the webhooks, the PR triggers, the access tokens, and the team’s mental model. Switching CI is not just a YAML rewrite; it’s friction on every subsequent workflow your team builds.

Caveats

This reflects platform state as of May 2026. GitHub’s self-hosted runner fee (announced March 2026, postponed indefinitely) could return — factor that risk into long-term cost models for large private self-hosted fleets. GitLab’s free tier (400 minutes/month) is aggressive enough that any project with regular commits will hit the ceiling; budget for Premium or self-hosted from day one.

We didn’t benchmark custom runner image warm-start (GA April 2026 on GitHub) against GitLab’s equivalent — that’s a comparison worth running for teams where cold-start is a real cost.

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