Cloud discount benchmarks across AWS, Azure and GCP
PUBLISHED JUNE 2026 · INDEPENDENT BUYER SIDE ADVISORY
Cloud discount benchmarks across AWS, Azure and GCP are the first thing buyers ask for and the most dangerous thing to use carelessly. Everyone wants a number, a percentage that tells them whether the deal in front of them is good. The honest answer is that commitment discounts are not published, vary enormously with spend and term, and are set deal by deal as of June 2026. A benchmark is useful as a sanity check and a conversation starter, never as proof that your specific deal is fair. This guide sits inside our cloud commitment negotiation playbook.
That does not make benchmarks worthless. Used well, they tell you roughly where a deal of your size and shape should land, where a provider is anchoring high, and which levers tend to move the number on each platform. Used badly, they convince a buyer that a quoted percentage is the ceiling when it is really the floor. This guide explains how the three programs structure discounts, what drives the curve, and how to use benchmarks without being misled, which is part of how our independent cloud commitment negotiation service pressure tests every offer.
Why cloud discount benchmarks across AWS, Azure and GCP mislead
The core problem is that commitment discounts are private. None of the three providers publishes the curve that maps committed spend to discount, and each deal is negotiated against your specific spend, term, growth, and willingness to walk. A benchmark drawn from other companies' deals describes a different buyer in a different position. It can point you toward a plausible range, but it cannot tell you what your number should be.
Benchmarks also get weaponized. A seller who knows the market range can quote near the bottom of it and present it as generous, while a buyer armed with a single benchmark figure may accept it as confirmation. The discount you are quoted is an opening position shaped by what the provider thinks you will accept, not a fixed fair value. Treat any benchmark as the start of the conversation, not the end.
How AWS EDP structures its discount
An AWS EDP, also called a Private Pricing Agreement, is a spend commitment over a one to five year term that unlocks tiered discounts scaling with the committed amount. As of June 2026 it is typically available from around one million dollars of annual spend, with dedicated account attention usually arriving nearer five million. The discount stacks on top of Reserved Instances and Savings Plans, and you usually have to ask for it rather than being offered it.
Because the discount scales with the commitment, the benchmark question for an EDP is really two questions: what tier does my committed amount reach, and what could a larger but still safe commitment reach. The trap is overcommitting to chase a deeper tier, because as of June 2026 overcommitment creates a shortfall the buyer must pay. The right benchmark mindset is to find the tier that fits spend you are confident in, not the deepest tier on the chart.
How Azure MACC structures its discount
An Azure MACC commits the buyer to a fixed dollar amount of Azure consumption and Marketplace eligible spend over the term, tied to the Microsoft Customer Agreement or an Enterprise Agreement. It is complementary to Reservations and Savings Plans rather than a replacement for them. The benchmark subtlety here is that marketplace eligible spend can help satisfy the commitment, so a like for like comparison with AWS has to account for what counts toward the number.
The defining risk to benchmark against is that unused commitment is generally lost, not refunded or rolled over, as of June 2026. So a deep MACC discount on a number you cannot fill is worse than a shallower discount on a number you will. When you compare an Azure quote to a benchmark, compare the discount against a commitment you are confident in consuming, not against the largest number the seller will discount.
How GCP committed use structures its discount
Google offers Committed Use Discounts in two forms, resource based covering vCPU and memory over a one to three year term and flexible across instance types, and spend based. Layered underneath are automatic Sustained Use Discounts that need no commitment at all, plus custom private pricing or workload agreements for large enterprises. As of June 2026, CUDs and SUDs do not double stack on the same resource, which materially affects any benchmark.
This structure means a raw GCP discount percentage is hard to compare with AWS or Azure, because some of the saving arrives automatically through Sustained Use Discounts without any commitment. A buyer benchmarking GCP should separate the committed discount from the automatic one, or risk crediting the commitment for savings they would have received regardless.
What actually drives the discount on every platform
Across all three programs the same forces move the curve. A larger committed amount reaches a deeper tier. A longer term earns more discount but surrenders future leverage. A credible alternative pushes the provider beyond its opening curve. And the calendar matters, because sellers chasing a quarter end or fiscal year close will move further to land a signature on time.
- Commitment size: deeper tiers require larger numbers, but only commit to spend you are confident in to avoid shortfall.
- Term length: more years means more discount and less future leverage, a trade to make deliberately rather than by default.
- Credible alternative: the provider's read of whether you will walk sets how far past the opening curve they move.
- Timing: quarter end and fiscal year close pressure the seller, which a prepared buyer turns into a deeper discount.
A benchmark that ignores these drivers is just a number floating free of context. A benchmark read against them tells you whether the deal in front of you reflects your real leverage or the provider's opening anchor.
How to use benchmarks without being misled
Use benchmarks to set expectations and spot anchoring, never as proof of fairness. If a quote sits well below where deals of your size and shape tend to land, that is a signal to push, not a verdict. If it sits at the top of the range, ask what the provider wants in return rather than assuming it cannot improve. The benchmark is a flashlight, not a ruler.
Above all, anchor the benchmark to a commitment you can actually fill. The deepest discount on the chart is worthless if it forces you into overcommitment, lost unused spend, or a punitive ramp. As of June 2026 these are the recurring buyer risks across all three programs, and no benchmark percentage outweighs them. Pressure test the offer against your real usage, then negotiate. These are commercial matters, and your own counsel should review the contract.
Use benchmarks to push the deal, not to settle for it.
We are independent and buyer side, paid only by you, with no reseller margin and no hyperscaler incentive. We pressure test every AWS, Azure, and GCP offer against your real leverage and your real usage, not a misleading market average.
BOOK A CONFIDENTIAL COMMITMENT REVIEWFrequently asked questions
Are cloud discount benchmarks across AWS, Azure and GCP reliable?
They are useful as a sanity check, not as proof a deal is fair. Commitment discounts are private and set deal by deal as of June 2026, so a benchmark from other companies describes a different buyer. Use it to spot anchoring and set expectations, then negotiate against your own leverage.
How does AWS EDP structure its discount?
An AWS EDP is a spend commitment over a one to five year term with tiered discounts that scale with the committed amount, typically from around one million dollars of annual spend as of June 2026. It stacks on Reserved Instances and Savings Plans, and overcommitting to chase a deeper tier creates a shortfall you must pay.
How is an Azure MACC discount different to benchmark?
A MACC commits a fixed dollar amount of Azure consumption and Marketplace eligible spend, so what counts toward the number affects any comparison. Crucially, unused commitment is generally lost as of June 2026, so benchmark the discount against a commitment you are confident you will consume.
Why is GCP committed use hard to benchmark?
Because Google layers Committed Use Discounts over automatic Sustained Use Discounts that need no commitment, and as of June 2026 the two do not double stack on the same resource. Separate the committed discount from the automatic one, or you credit the commitment for savings you would have received anyway.
What actually drives the discount percentage?
Commitment size, term length, a credible alternative, and timing. Deeper tiers need larger numbers, longer terms trade discount for lost leverage, a real walk away path pushes past the opening curve, and quarter end pressure moves the seller. A benchmark read without these drivers is meaningless.
How should I use a benchmark in a negotiation?
To set expectations and spot anchoring, not as a verdict. A quote below the typical range is a signal to push, one at the top is a prompt to ask what the provider wants in return. Always anchor the benchmark to a commitment you can actually fill, since shortfall risk outweighs any headline percentage.