What cloud computing actually costs in India in 2026

Compare cloud computing costs in India for AWS, Azure, GCP and Indian providers. Learn about egress, storage, GST, discounts and hidden cloud costs.

Every cloud budget I've reviewed starts the same way. Someone pulls up the on-demand pricing page, multiplies it out, and presents that number as the plan. Then the actual bill shows up three months later, and it's nothing like that number. I know most of us have faced this.

Let me walk you through what actually drives cloud costs in India this year.

Quick answer: on-demand compute pricing is nearly identical across AWS, Azure, and GCP in India, so that's not where the real cost differences show up. The gaps come from storage rates, egress fees, discount depth, and whether you're billing through an Indian entity for GST purposes. Indian cloud providers typically run 30 to 50% cheaper than the global hyperscalers for equivalent resources, mainly through INR billing, no currency conversion overhead, and simpler pricing.

How much do AWS, Azure, and GCP actually cost in India?

Let’s start with the top three in the industry. Compute pricing is close enough across all three that it shouldn't be your deciding factor. The differences that matter show up in storage and add-on services.

Here's how a standard workload lines up across the three India-based regions:

Item

AWS Mumbai

Azure Central India

GCP Mumbai

Standard storage (per GB/month)

~₹1.90

~₹1.85

~₹1.72

On-demand compute (4 vCPU, 16GB)

Comparable across all three

Comparable across all three

Comparable across all three

3-year committed discount

Up to ~70%

Deepest for Windows/SQL workloads

Up to ~72–73%

Storage pricing runs within a few percent of each other. The real spread, reported at 10 to 35% for equivalent resources, comes from how each provider prices databases, networking, and support tiers on top of that baseline. Don't pick a provider off the compute price alone. That number is designed to look the same everywhere.

“Just a random thought. If you are someone who is looking for GPUs for your AI workload, you should definitely visit my blog on ‘Top GPU comparison in India’. I know that was abrupt, but just inking down whatever I am thinking.“

Now let’s get back to the topic we are discussing. 

Why does everyone forget about egress until the bill arrives?

Because it doesn't show up until you're actually serving traffic, and by then it's already baked into your architecture.

Egress, the cost of data leaving the provider's network, runs roughly ₹2 to ₹8 per GB across AWS, Azure, and GCP. That sounds small until you run real numbers. Serving 5TB a month to your users costs somewhere between ₹10,000 and ₹40,000 in egress alone, every single month, forever, as long as that architecture stays in place.

Inter-region transfers add another layer. Moving data between Mumbai and Singapore, a common setup for disaster recovery, costs roughly ₹1 to ₹2 per GB on top of your regular egress.

Here's the fix most teams skip: check whether your workload actually needs to leave the provider's network as often as it currently does. A CDN in front of frequently accessed content, or keeping compute and storage in the same region, removes a chunk of this cost without touching your application code.

Do Indian cloud providers actually cost less?

Yes, usually 30 to 50% less for equivalent compute and GPU resources, and the reason is simpler than most people assume.

It's not that India is a cheaper market for the global hyperscalers. AWS, Azure, and GCP charge similar rates in India as they do globally once you convert currencies. The savings come specifically from choosing an Indian provider, not from being in India.

Indian cloud service providers get there through a few concrete things: INR-denominated billing with no currency conversion overhead, simpler pricing structures without the layered add-on fees, and often more generous or fully waived egress for domestic traffic. Compute instances starting around ₹1,500 to ₹2,500 a month and GPU instances from around ₹50 an hour are common entry points, with spot pricing knocking off another 65 to 70%.

The tradeoff, and it's a real one, is a narrower service catalog. If your workload needs a specific managed service that only exists on one of the big three, that requirement can outweigh the cost savings.

What does GST actually change on your cloud bill?

It changes whether you can claim input tax credit, and that's worth checking before you sign a contract, not after your finance team asks about it.

If your provider bills you through an India-registered entity, you get a proper GST invoice and can typically claim that tax back as input credit. If you're billed directly from a provider's entity outside India, that credit isn't always available in the same way, and the tax effectively becomes a real cost rather than a pass-through.

This is a genuinely easy thing to check upfront. Confirm which entity issues your invoice before you commit to a provider, especially if you're a growing business where that input credit adds up meaningfully over a year.

How much do commitments and reserved pricing actually save?

A lot, if your usage is predictable enough to commit to it. Reserved and committed-use pricing typically cuts 60 to 72% off on-demand rates across all three major providers.

Spot and preemptible instances go further, saving up to 90% in some cases, but they come with a real operational catch. AWS reprices its spot capacity far more often than GCP does, roughly 197 times a month against GCP's 0.35 times a month, according to recent Kubernetes cost benchmarking. That difference matters if your workload can't tolerate frequent interruption or repricing.

My rule of thumb: commit to reserved pricing for anything you know you'll run for the next year. Use spot only for workloads that can genuinely handle interruption without breaking anything downstream.

Are managed databases worth the markup?

Usually yes, if your team's time is worth more than the price difference. Managed databases typically cost 50 to 100% more than running the same database yourself on a compute instance.

A managed PostgreSQL instance with 4 vCPUs and 16GB of RAM runs roughly ₹8,000 to ₹15,000 a month, against ₹4,000 to ₹7,000 for the equivalent self-managed setup. That gap covers patching, backups, failover, and monitoring that you'd otherwise have to build and maintain yourself.

For a small team without dedicated database expertise, that markup is usually cheap insurance. For a team that already has strong ops capability, self-managing can be a legitimate way to cut real cost.

How do you actually build a realistic cloud budget?

Work through it in this order, and you'll catch most of the surprises before they hit your invoice.

  1. Price compute last, not first. It's nearly identical across providers, so it won't drive your decision anyway.

  2. Estimate egress based on real usage patterns, not your current test environment. Production traffic looks very different from a demo.

  3. Check the GST invoicing setup before signing, so you know whether input credit applies to your bill.

  4. Separate steady workloads from spiky ones, and price reserved capacity for the steady ones specifically.

  5. Add 20 to 30% headroom on top of your calculated number. Every cloud budget I've seen underestimates data transfer and managed service add-ons on the first pass.

What mistakes drive up cloud bills in India?

A few of these show up in nearly every audit I've done.

  • Comparing providers on compute price alone: That's the one number that's already nearly identical everywhere. The real gaps sit in storage, egress, and discounting.

  • Ignoring inter-region transfer costs during architecture design: A disaster recovery setup spanning Mumbai and Singapore adds a real, recurring line item that's easy to miss during initial planning.

  • Assuming Indian pricing from global providers is a discount: It isn't. The lower cost comes from choosing an Indian provider, not from being billed in India by a global one.

  • Skipping the GST entity check: This is a five-minute conversation with your provider that can save real money over a year, and almost nobody has it upfront.

The bottom line

Cloud pricing in India isn't really about which provider has the cheapest sticker price. Compute is basically a tie everywhere. The real cost sits in egress, storage tiers, GST treatment, and how disciplined you are about commitments versus on-demand spend.

Build your budget around those factors, and you'll land a lot closer to your actual bill than any pricing calculator will get you on its own.