How much does an idle c2-standard-8 cost on Google Cloud?
A c2-standard-8 billed on-demand and left running around the clock costs about $305/mo at its cheapest listed region (us-central1). Scheduling it off outside business hours cuts that to roughly $91/mo — a $214/mo saving.
Cheapest on-demand
$0.4176/hr
us-central1
Running 24/7
$305/mo
730-hour month
Business-hours savings
$214/mo
70% off the 24/7 bill
Price by region
| Region | Hourly (on-demand) | Spot (typical) | ≈ Monthly (24/7) |
|---|---|---|---|
| us-central1 Cheapest | $0.4176/hr | $0.1813/hr | ≈ $305/mo |
| us-east1 | $0.4176/hr | $0.1813/hr | ≈ $305/mo |
| us-west1 | $0.4176/hr | $0.1813/hr | ≈ $305/mo |
| europe-west1 | $0.4594/hr | $0.2264/hr | ≈ $335/mo |
| asia-southeast1 | $0.5152/hr | $0.2817/hr | ≈ $376/mo |
| asia-northeast1 | $0.5357/hr | $0.1363/hr | ≈ $391/mo |
| europe-west2 | $0.5380/hr | $0.1220/hr | ≈ $393/mo |
| europe-west3 | $0.5380/hr | $0.1290/hr | ≈ $393/mo |
What a schedule saves
| Schedule | Monthly cost | Savings vs 24/7 |
|---|---|---|
| Running 24/7 | $305/mo | baseline |
| Weekdays only (off on weekends) | $218/mo | -$87/mo (29%) |
| Business hours only (10×5) | $91/mo | -$214/mo (70%) |
Assumes a 730-hour month at on-demand list price. Actual savings depend on when the instance is actually used.
About the c2 family
C2 is GCP's compute-optimized Intel Cascade Lake family, built for the highest sustained per-core performance — HPC, high-performance gaming servers, ad serving, and media transcoding. Test and staging rigs for these workloads need that same CPU ceiling during a run, then go completely idle between runs or overnight. Because C2 hourly rates are high, an idle C2 box is one of the more expensive ways to leave a dev environment running unattended.
Regional pricing varies: c2-standard-8 runs $0.4176/hr in us-central1, the cheapest region priced here, versus $0.5380/hr in europe-west2, the priciest — a 22% spread across regions for the identical instance type.
The next size up in the same family, c2-standard-16 (16 vCPU / 64 GB RAM), costs about $610/mo running 24/7 at its cheapest region — roughly 100% more than c2-standard-8's ~$305/mo — for 2x the vCPU.
Common questions
How much does an idle c2-standard-8 cost per month?
At the cheapest listed region (us-central1), a c2-standard-8 costs $0.4176/hr, or about $305/mo if it runs 24/7. That's the on-demand list price — an idle instance costs exactly the same as a busy one, since cloud billing doesn't know the difference.
How much can I save by scheduling it off outside work hours?
Restricting it to business hours only (10×5) saves about $214/mo (70%) versus running 24/7. A lighter schedule — on around the clock on weekdays, off on weekends — still saves about $87/mo (29%).
What makes idle c2 instances especially costly?
c2 pairs the highest sustained per-core performance in GCP with a correspondingly high hourly rate, and its typical workloads — benchmarks, simulations, transcoding — are bursty by nature. That combination makes the gap between "used hard for two hours" and "provisioned all week" wider than on any general-purpose family.
Other c2 sizes
Stop paying for idle Google Cloud servers
Idlefy runs a free audit of your fleet, then flips dev servers to stopped-by-default: lease one when you need it, and
when the lease ends it shuts itself off — stop, not terminate, persistent disks intact. Timers are set by your team, never
guessed, and Idlefy only manages instances tagged idlefy=enabled — on AWS that boundary is enforced by the IAM policy itself.
Prices are on-demand list price for standard instances and exclude storage, network, data transfer, and any negotiated or volume discounts. Actual bills vary by usage and account-level pricing. Prices as of 2026-07-20. Spot figures are indicative — AWS values are derived from AWS's published typical savings vs on-demand for the region; GCP values are the listed Spot price. Spot capacity can be reclaimed by the provider. Stopping preserves EBS and persistent-disk volumes; data on local instance-store or local-SSD drives does not survive a stop.