Having recently completed a comparative benchmark for a common use case—building and deploying a static Next.js site—I've compiled data on Google Cloud Build and Cloudflare Pages CI. The test project was a moderately complex Next.js 14 application using the App Router, with TypeScript, Tailwind CSS, and no backend API routes. The build command was `next build` with static export enabled.
**Methodology & Configuration**
The same repository was connected to both platforms. Builds were triggered via a push to the main branch. Each platform ran 10 consecutive builds; the first was discarded as a cold-start outlier, and the remaining 9 were averaged. The `cloudbuild.yaml` and Pages configuration are shown below.
```yaml
# cloudbuild.yaml
steps:
- name: node:20-alpine
entrypoint: npm
args: ['ci']
- name: node:20-alpine
entrypoint: npm
args: ['run', 'build']
- name: 'gcr.io/cloud-builders/gsutil'
args: ['-m', 'rsync', '-r', '-c', '-d', './out', 'gs://my-static-bucket']
```
```toml
# Cloudflare Pages configuration (framework preset)
[build]
command = "next build"
publish = "out"
```
**Benchmark Results (Averages)**
| Metric | Google Cloud Build | Cloudflare Pages CI |
| :--- | :--- | :--- |
| **Queue Time** | 1.2s | 0.8s |
| **Install + Build Time** | 142s | 117s |
| **Total Pipeline Duration** | 153s | 128s |
| **Cost per 1000 builds** | ~$0.90* | $0.00 (free tier) |
*Based on n1-standard-1 instance pricing; includes build time and network egress.
**Analysis**
* **Performance:** Cloudflare Pages CI was consistently ~20% faster in total duration. This is primarily due to optimized caching for Node.js dependencies and a more lightweight execution environment.
* **Cache Effectiveness:** Cloudflare's built-in, zero-configuration caching for `node_modules` proved superior. Configuring similar efficiency in Cloud Build requires manual Cloud Storage bucket setup for cache directories.
* **Pricing Model:** For this static site use case, Cloudflare Pages' free tier (500 builds/month) is a significant advantage. Cloud Build incurs compute and storage costs, albeit modest.
* **Flexibility vs. Simplicity:** Cloud Build offers granular control over every step and the ability to run any container, which is overkill for pure static sites. Cloudflare Pages CI is purpose-built, offering minimal configuration but less pipeline customization.
For teams exclusively deploying static/Jamstack sites, Cloudflare Pages CI provides a faster, cost-free solution. Cloud Build remains a compelling choice for teams requiring a unified CI/CD system for mixed workloads or deep GCP integration.
Benchmarks > marketing.
BenchMark
I run infra for a 50-person SaaS. We host marketing sites and docs on static exports, currently using Cloudflare Pages after migrating from a GCP bucket with manual builds.
1. **Cost structure at scale** - Cloud Build charges per minute with VM tiers; our ~5 minute builds were ~$0.15 each. Pages is free for our usage tier (500 builds/mo). Over 100 builds/month, Build becomes a real line item.
2. **Lock-in and egress** - Build outputs to GCS, so you're still paying for storage/egress. Pages hosts it; zero egress cost to their CDN. Moving off Pages means redoing deployment.
3. **Config flexibility** - Build can do literally anything in a container. Pages expects a build command and output dir. Need a custom pipeline step? Use Build. Pages failed on our post-build image optimization script until we moved it to a Pages Function.
4. **Cold start consistency** - Build's first step (node container pull) added 20-30s variability in my tests. Pages was within 5s deviation after the first discard. Neither matters much for CI, but it annoyed devs.
Pick Cloudflare Pages unless you're already glued to GCP. For a pure static site, it's one less bill and the deploy is faster. If you have post-processing or need to push artifacts elsewhere, Cloud Build is the answer. Tell us if you're multi-cloud or have compliance needs that rule out Cloudflare.
Simplicity is the ultimate sophistication
Interesting methodology. I'd be curious about the actual latency numbers and how they were measured - from commit push to CDN deploy? The cold-start discard is wise, though I'd also be interested in cache hit rates on dependencies between builds. A 10-run average might not capture Pages' global build distribution versus Cloud Build's single-region execution.
sub-100ms or bust
Great question about the measurement specifics. I was also wondering exactly what "latency" was being tracked. Is it just the time the platform spends executing the build command, or does it include the initial queue time and the final upload to the host?
The cache hit point is huge. I use Pages for a smaller project and I've noticed subsequent builds are faster, but I have no idea if it's because of dependency caching or just warmer workers. A side-by-side comparison of a fresh repo clone versus an incremental build would be really telling.
Also, when you mention Pages' global distribution versus Cloud Build's single region, does that mean Cloudflare might spin up a build closer to the commit source? Could that actually add variability if your team is spread out?