Compare estimated monthly costs for a workload across AWS, Azure, GCP, and OCI side by side.
Last verified: May 2026
Output will appear here...The calculator maintains a mapping of equivalent SKUs across the four providers (general-purpose, compute-optimized, memory-optimized, burstable). It pulls the public list price for each SKU at the selected region, scales by hours-per-month, and adds the storage and egress lines. Results are surfaced as both monthly cost and percentage delta against the cheapest provider so the comparison is easy to scan.
Cloud cost comparisons that come out of vendor calculators are systematically biased toward the provider running the calculator. The Cloud Cost Comparison Calculator runs the same workload spec — instance class, vCPU, RAM, storage tier, egress profile — through equivalent compute and storage SKUs on AWS, Azure, GCP, and OCI side by side, using published list pricing. The point is not to declare a winner but to make the deltas visible so you can argue about a real number instead of a marketing claim.
Your platform team has been asked to validate a finance assumption that moving a 200-instance Kafka cluster from AWS to GCP will save 30%. You enter the cluster spec (r6i.4xlarge equivalents, 16 TB of attached SSD, 8 TB/month outbound). The calculator shows GCP would save 11% on compute, lose 4% on storage, and lose another 22% on egress because the cluster talks to AWS-hosted consumers across regions. Net move: 15% more expensive. You bring the number to finance and the migration gets shelved.
Egress is where comparisons usually flip. The compute delta might be $200/month; the egress delta on a chatty workload sending 5 TB/month outbound can easily be $500/month. Always model egress separately and weigh it heavily.
Region matters more than provider for some workloads. Tokyo and São Paulo are 15-40% more expensive than us-east on every provider. A like-for-like comparison must hold region constant.
By default the calculator uses on-demand list pricing because that is the only fair baseline across all four providers. Each provider offers committed discounts (Savings Plans on AWS, Reserved Instances on Azure, CUDs on GCP, Universal Credits on OCI), but their commitment terms differ enough that combining them in a single number is misleading. We surface on-demand and let you apply a discount factor manually.
AWS and Azure compete head-to-head on a per-vCPU and per-GB-RAM basis for general-purpose compute, and both anchor their list prices to each other. GCP undercuts both on small instance types but rises faster on memory-optimized SKUs. OCI is consistently cheaper on bare metal and dedicated compute but matched on general-purpose virtual machines.
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