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How It Works
Cloud providers offer multiple ways to pay for the same resource. On-demand pricing (AWS), pay-as-you-go (Azure), and standard pricing (GCP) all charge a full hourly rate with no commitments required. These rates carry the highest cost because the provider absorbs all the capacity risk. Commitment-based pricing trades flexibility for discount: AWS calls this Reserved Instances and Savings Plans, Azure calls it Reservations and Savings Plans, and GCP calls it Committed Use Discounts. Each requires agreeing to use a defined amount of compute over a 1-year or 3-year term in exchange for discounts up to 72% on AWS Reserved Instances, up to 66% on AWS Compute Savings Plans, up to 72% on Azure Reservations, up to 65% on Azure Savings Plans, and up to 57% on GCP Committed Use Discounts. A third tier, Spot Instances on AWS and Azure Spot VMs on Azure, offers steep discounts on spare capacity that the provider can reclaim with short notice.
Why It Matters for Cloud Cost
Most companies default to on-demand pricing because it requires no analysis or commitment. That simplicity comes at a cost. A team spending $1M per year on compute could reduce that bill by 30 to 50% using commitment-based pricing, but the discount only applies when the right commitment type is purchased at the right size and held at sufficient utilization. Overcommitting creates waste through unused reserved capacity. Undercommitting leaves discount potential uncaptured. Without active management across all three pricing tiers, companies consistently pay more than they need to.
Key Characteristics
- On-demand rates require no upfront payment or commitment but carry the highest per-hour cost across all three major providers.
- Commitment-based pricing delivers the largest discounts and applies across AWS Reserved Instances, AWS Savings Plans, Azure Reservations, Azure Savings Plans, and GCP Committed Use Discounts.
- Spot and preemptible instances offer significant discounts but can be interrupted, making them suitable only for fault-tolerant workloads.
- Provider discount ranges vary by service type, region, operating system, and term length, so realized savings depend on matching commitments to actual usage patterns.
How Usage AI Handles This
Usage AI’s Autopilot and CoPilot modes operate across all three pricing tiers on AWS, GCP, and Azure, automatically purchasing and adjusting commitments daily so customers capture the maximum discount at each tier without overcommitting. Usage AI owns the commitments directly, so customers carry zero financial risk from pricing model decisions.
See how Usage AI saves 30 to 50% on AWS, GCP, and Azure.
Common Questions
1. What is the difference between on-demand and reserved pricing?
On-demand pricing charges a full hourly rate with no commitment required, giving maximum flexibility but the highest cost. Reserved pricing (called Reserved Instances on AWS, Reservations on Azure, and Committed Use Discounts on GCP) requires agreeing to a usage commitment in exchange for discounts that can reach up to 72% versus on-demand rates. The right choice depends on how predictable and stable a workload’s compute consumption is.
2. Do I have to choose one pricing model for my entire cloud account?
No. Most organizations use a combination of pricing models at the same time. Stable, predictable workloads are typically covered by commitments to capture discounts, while variable or unpredictable workloads continue on on-demand pricing. Fault-tolerant workloads may use spot or preemptible capacity where interruption risk is acceptable.
3. What happens if I buy a commitment and my usage drops?
With native provider commitments, unused reserved capacity is billed at the committed rate regardless of actual usage, resulting in wasted spend. Usage AI’s products include a cashback plus credits guarantee on any underutilization, eliminating the financial risk of usage dropping after a commitment is purchased.