Multi-Cloud Cost Calculator
Pick a provider, region and instance size to see live on-demand compute cost. Azure prices are fetched in real time; AWS via the configured proxy.
Configure
Estimate
Configure the inputs and press Calculate.
Indicative on-demand list pricing for planning only. Excludes reservations, committed-use discounts, egress, storage and support. Not a quote.
How to read the number
A single hourly rate answers one question well: what an equivalent instance costs on demand in this region, right now. That is the comparison most cloud placement decisions turn on first, because it is the one figure that is published, comparable, and not contaminated by a discount model you have not chosen yet.
What it does not answer is what you will pay. The gap between an on-demand compute rate and a monthly invoice is filled by storage, egress, licensing, support and whatever commitment you eventually sign. Use this page to narrow the field to two or three candidates, then model the committed position against real utilisation before anybody signs.
What the figure includes
On-demand compute for the SKU, region and quantity you selected, expressed as an hourly, monthly and annual run rate. Azure is pulled live from the public retail pricing API; AWS is reported through the configured pricing proxy. Both are list prices in USD before any discount.
What it deliberately excludes
Reservations and committed-use discounts, storage and snapshots, egress and inter-region transfer, load balancers and managed services, operating system and application licensing, vendor support plans, and any partner margin applied to your account.
Who it is for
Infrastructure and finance teams sanity-checking a workload placement, comparing two candidate regions, or building the first cut of a business case before a scoping conversation. It is a planning instrument, not a quotation instrument.
Four places a multi-cloud estimate goes wrong
The arithmetic in a cost comparison is rarely the problem. These are the four assumptions that quietly invalidate the answer, and they account for most of the variance between a planning figure and the first real invoice.
Comparing different instance families
A general-purpose and a memory-optimised instance are not interchangeable, whatever the price difference suggests. Match vCPU and memory before you compare rates, or the cheaper number is simply the smaller machine wearing a comparable name.
Ignoring inter-region transfer
A design that moves data between regions or providers pays for the traffic twice, once leaving the source and once arriving at the destination. Compute is the easy line to estimate; the traffic profile between the tiers is where the budget actually moves.
Assuming the SKU is available
Not every instance is offered in every region, and specialised families, GPU capacity in particular, are the first to be constrained. Confirm the SKU exists in the region you designed around before that choice becomes load-bearing in an architecture document.
Treating on-demand as the final rate
Very few enterprises pay list. A ranking built entirely on on-demand rates can invert once commitment levels, an existing enterprise agreement, or reserved capacity enter the picture, which is why the last pass belongs in a commercial model rather than a calculator.
Choosing a region for an India workload
Start from the latency your users and applications can actually tolerate, then confirm the SKU you intend to run exists in that region. Central India and South India serve the majority of domestic workloads, and for many applications the difference between them is a few milliseconds that nobody will feel.
A second region should be chosen for a reason you can name, whether that is data residency for a regulated workload, a disaster-recovery objective with an agreed recovery point, or a business unit operating in another geography. Defaulting to a two-region design without one of those drivers doubles the surface area you operate and rarely improves the outcome.
Calculator questions
Is the calculator result a quote?
No. It is indicative on-demand list pricing for planning only. It excludes reservations, committed-use discounts, egress, storage and support, and it does not reflect any commercial terms you already hold with a provider or through a partner.
Why does the figure differ from my cloud invoice?
Your invoice reflects the discount model you actually buy on, plus storage, egress, snapshots, load balancers, licensing and support, none of which a compute-only hourly figure carries. Treat the calculator as a comparison baseline between providers and regions, not as a forecast of your bill.
Does the estimate include storage, backup or data transfer?
It does not. Compute is deliberately isolated because it is the line item that varies most between providers and regions for the same workload shape. Storage, egress and managed services need to be modelled separately, and they can move the total by more than the compute delta you are comparing.
Can it model reserved instances or committed-use discounts?
Not directly. On-demand pricing is the only figure that is comparable across providers without assuming a commitment you may not want to make. If you want a committed-use comparison, share your steady-state workload and we will model reservations and committed-use against your actual utilisation profile.
Why does the AWS option report through a proxy?
Azure exposes a public retail pricing API that a browser can query directly. AWS pricing is not served in the same way, so the lookup runs through a small server-side proxy that holds the credentials and normalises the response. If the proxy is not configured on an environment, the Azure option still works and AWS returns a configuration message.
Which region should I select for an India workload?
Start from the latency your users and applications can tolerate, then confirm the SKU you intend to run is actually available in that region. Central India and South India serve most domestic workloads; a second region is usually chosen for a specific reason such as residency, a disaster-recovery objective or a regulatory constraint, not by default.
Want a committed-use comparison?
Share your steady-state workload and we will model reservations and committed-use across providers.