GCP Cost Estimator
Free GCP cost estimator — estimate monthly Google Cloud compute, storage, and network egress costs.
Pricing disclaimer: Pricing on this page may be incorrect, incomplete, or out of date. These are unofficial estimates only — not quotes from AWS, Azure, Google, OpenAI, Anthropic, NVIDIA, DigitalOcean, or any other provider. You must check the official company website for accurate pricing before budgeting, purchasing, or making architecture decisions.
Important: By using this page, you agree that calculator, estimator, or tool results, charts, About explanations, quick tips, and formulas are for informational use only — not professional advice. You assume all risks of relying on them. See the full disclaimer below and our Terms of Service.
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How it works
Select a GCP machine type preset, enter instance count, hours, Cloud Storage GB, and egress for a monthly estimate.
About GCP Cost Estimator
Informational only — not professional advice. Report an error.
Google Cloud Platform bills Compute Engine VMs by the hour, Cloud Storage by GB-month, and network egress by destination and volume. E2 machine types offer cost-efficient general compute; N2 scales up for heavier workloads. One GCP-specific wrinkle: sustained use discounts and committed use contracts automatically or contractually lower your effective hourly rate — so the list price on Google's pricing page is often not what you actually pay.
This GCP cost estimator follows the same three-part model as the AWS and Azure tools: instances times hours, plus storage, plus egress. Presets use approximate US multi-region rates for e2-micro through n2-standard-2. Preemptible (Spot) VMs can cut compute cost sharply for fault-tolerant batch jobs; use the preemptible hourly rate and actual batch hours instead of 730 if that matches your pattern.
Cloud Storage classes — Standard, Nearline, Coldline — differ in per-GB price and retrieval fees. The calculator assumes one storage rate, so adjust if most of your data sits in archival tiers. Egress within GCP or to Cloud CDN peers is cheaper than egress to the general internet; overestimate internet egress if users download large files directly from buckets.
Teams on GCP often run GKE, Cloud Run, and BigQuery alongside VMs — this estimate covers VM-centric baselines only. Cloud Run and GKE Autopilot bill differently from raw Compute Engine hours, so use this calculator when you know equivalent VM sizing, not for serverless-only stacks. BigQuery, Pub/Sub, and Cloud Functions can exceed VM cost for data-heavy products, so treat this tool as the compute slice of a larger bill. For ML training, add GPU calculator results on top.
Compare all three hyperscaler calculators with equivalent vCPU and RAM when leadership asks for an apples-to-apples hosting comparison. Committed use discounts apply per project or billing account depending on setup, so your effective rate may differ from a colleague's even on the same machine type. Enable billing export to BigQuery early so you can validate calculator inputs against historical spend curves once traffic is live.
Quick tips
- Sustained use discounts apply automatically on Compute Engine — check your effective rate in billing export.
- Preemptible VMs suit batch jobs; use actual runtime hours instead of 730.
- Pick storage class pricing that matches your access pattern (Standard vs Nearline vs Coldline).
- Inter-region egress differs from internet egress — do not mix them in one bandwidth number.
- Compare with AWS and Azure calculators using similar vCPU and memory footprints.
Formulas
computeCost = instances × pricePerHour × hoursPerMonthstorageCost = storageGb × storagePricePerGbbandwidthCost = bandwidthGb × bandwidthPricePerGbtotalMonthly = computeCost + storageCost + bandwidthCost
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