Strategic Manifest
Comprehensive pricing reference for cloud advisory conversations. All prices reflect April 2026 list rates in US East regions, sourced from official provider pricing pages and cross-checked against Cast AI, Cloud Price, EgressCost.com, and FinOps practitioner data. Real-world pricing varies by region, commitment, and negotiated discount (EDP, MACC, etc.) — always validate with the provider's calculator before committing. After Q2 CY2026 earnings, all four hyperscalers reported 2027 capacity largely reserved and 2028 partly reserved — GPU-tier instance availability is now the binding constraint on onboarding timelines for AI workloads at scale.
List-price compute is engineered to match across all four providers
A 4-vCPU, 16GB RAM Linux instance in US East costs ~$0.19/hour on AWS, Azure, and GCP — within fractions of a cent. The providers actively monitor each other's headline rates and match them. Real cost differentiation lives in egress, block storage, Kubernetes control plane fees, commitment flexibility, and hidden infrastructure costs (NAT gateways, cross-AZ transfer, support plans). If a vendor pitch says "we're cheaper on compute," they're either talking about a non-equivalent instance, a multi-year commitment, or already-included discounts. The headline number is a wash.
General-purpose VM, equivalent specs (4 vCPU / 16 GB RAM), Linux, US East. On-demand vs. 1-year commit vs. 3-year commit vs. spot/preemptible.
| Pricing Model | AWS · m6i.xlarge | Azure · D4s v5 | GCP · n2-standard-4 | OCI · VM.Standard3.Flex |
|---|---|---|---|---|
| On-demand4 vCPU / 16 GB, hourly | $0.192/hr ~$140/mo |
$0.192/hr ~$140/mo |
$0.194/hr ~$142/mo · auto SUD ~20% |
$0.106/hr ~$77/mo · 2 OCPU + 16GB · per-OCPU billing |
| 1-year commitReserved / Savings Plan / CUD | ~37% off most flexible — applies to any EC2 family |
~40% off Reserved tied to instance family + region |
~37% off CUD by vCPU/memory in region; auto-applies |
~25–30% off Universal Credits, annual commit |
| 3-year commitMaximum discount | ~57% off Savings Plan flexibility |
~60% off + up to 76% w/ Hybrid Benefit |
~60% off Resource-based CUD |
~30% off + Oracle Support Rewards (25% rebate) |
| Spot / PreemptibleInterruptible workloads | up to 90% off 2-min interruption warning |
up to 90% off Spot VMs · Bs not supported |
60–91% off most stable spot pricing |
flat 50% off simple, predictable |
| ARM computeProvider's own silicon | Graviton5 25–35% better price/perf vs x86 |
Cobalt 100 Azure ARM, parity pricing |
Axion ~10% cheaper than C3 |
Ampere A1 cheapest ARM in market · 4 OCPU free forever |
| Per-second billingGranularity | Linux only EC2 Linux + ECS/Fargate |
Containers only VMs are per-minute |
All VMs Linux + Windows |
All compute consistent |
| Regional price varianceSame VM, different regions | Varies ±25% London/Brazil materially higher |
Varies ±20% EU/APAC premium |
Varies ±15% most consistent of big 3 |
Globally consistent same price in every region |
Object storage hot tier in $/GB/month. Headline rates only — request charges, retrieval fees, and minimum-storage durations add 30–70% to a real bill.
| Storage Type | AWS | Azure | GCP | OCI |
|---|---|---|---|---|
| Object · HotStandard, frequent access | $0.023/GB S3 Standard |
$0.018/GB Blob Hot · cheapest of big 4 |
$0.020/GB GCS Standard |
$0.0255/GB but bundled w/ free egress |
| Object · ColdInfrequent access | $0.0125/GB S3 Standard-IA |
$0.0045/GB Blob Cold (new tier) |
$0.010/GB Nearline |
$0.0026/GB Infrequent Access |
| ArchiveLong-term, rare access | $0.00099/GB Glacier Deep Archive |
$0.00099/GB Archive tier |
$0.0024/GB Archive multi-region |
$0.0026/GB Archive Storage |
| Block · SSDVM-attached | $0.10/GB EBS gp3 |
$0.075/GB Premium SSD |
$0.17/GB Persistent Disk SSD · highest of 4 |
$0.0425/GB Block Volume |
| Vector storageRAG / embeddings | $0.06/GB S3 Vectors (GA Dec '25) |
Bundled Cosmos DB / AI Search |
Bundled Vertex AI Vector Search |
Native Oracle DB 23ai |
| Request chargesPUT / GET (per 1K) | $0.005 / $0.0004 Standard tier |
$0.0055 / $0.0044 Hot tier |
$0.005 / $0.0004 Standard ops |
$0.0034 / $0.0034 flat |
Egress (data leaving the cloud) is the most asymmetric pricing category in cloud computing. Ingress is free everywhere; egress ranges from $0.0085/GB to $0.12/GB. This is where multi-cloud strategies live or die.
| Volume Scenario | AWS | Azure | GCP | OCI |
|---|---|---|---|---|
| 10 TB/monthMid-size SaaS | $912 |
$868 |
$1,221 |
$0 under 10TB free tier |
| 50 TB/monthHeavy SaaS / streaming | $4,300 |
$4,000 |
$5,200 |
$340 40TB billable × $0.0085 |
| 100 TB/monthEnterprise / CDN-heavy | $9,000 |
$8,072 |
$10,400 |
$765 90TB billable |
| Cross-region replication500 TB/mo (DR) | $10,000 $0.02/GB |
$10,000 $0.02/GB |
$5,000 $0.01/GB intra-US |
Varies port-based, not per-GB |
| Egress when leavingPermanent migration off platform | Charged EU DMA exception only |
Free waived for migrations off Azure |
Charged |
Mostly free 10TB/mo allowance helps |
For platform teams running 10+ clusters (production / staging / per-environment / sandbox), control plane fees compound.
| Item | AWS · EKS | Azure · AKS | GCP · GKE | OCI · OKE |
|---|---|---|---|---|
| Control planePer cluster, per month | $73/mo $0.10/hr |
$0 free, always |
$73/mo + 1 free zonal cluster/account |
$0 free |
| Cost · 10 clusters/yearJust control plane | $8,760 |
$0 |
$7,884 9 paid + 1 free |
$0 |
| Maturity / DXOperational experience | Most mature deepest IAM / VPC / EBS integration |
Strong best for Windows containers + Entra |
Most mature Google created Kubernetes |
Adequate simpler, less ecosystem |
All four offer free resources, but the structure is wildly different. OCI is the most generous "always free" tier — useful to know for proof-of-concept work and small client pilots.
- EC2: 750 hrs/mo t3.micro for 12 mo
- S3: 5 GB for 12 mo
- RDS: 750 hrs db.t2.micro for 12 mo
- Lambda: 1M requests/mo always free
- DynamoDB: 25 GB always free
- CloudWatch: 10 metrics + 1M API req free
- VMs: 750 hrs B1s for 12 mo
- Blob: 5 GB for 12 mo
- SQL DB: 250 GB for 12 mo
- Functions: 1M executions/mo always free
- Cosmos DB: 1,000 RU/s always free
- 55+ services with always-free allotments
- e2-micro VM: always free in us-central1/east1/west1
- Cloud Storage: 5 GB always free
- BigQuery: 1 TB queries + 10 GB storage/mo free
- Cloud Functions: 2M invocations/mo free
- Firestore: 1 GB + 50K reads/day free
- e2-micro stays free forever — only big-3 to do this
- Ampere A1: 4 OCPU + 24 GB RAM ARM (no expiry)
- Block Storage: 200 GB
- Object Storage: 20 GB Standard + 20 GB IA
- Autonomous DB: 2 databases × 20 GB each
- Egress: 10 TB/month always free
- Load Balancer + VPN + Logging all included
Each provider runs a startup program. Credits aren't free money — they're customer acquisition spend designed to build switching cost. Most experienced founders apply to multiple simultaneously and treat the credits as runway extension.
| Program | Credit Ceiling | Typical Actual | Period | Requirements |
|---|---|---|---|---|
| Google Cloud for Startups · AI TrackMost aggressive program of 2026 | Up to $350K $250K Y1 + $100K Y2 |
$25K–$200K |
2 years |
VC-backed AI startups + Google partner referral. Year 2 credits at 20% match (you spend $5, get $1). |
| Microsoft for Startups Founders HubBest for AI/.NET shops | Up to $150K + GitHub Enterprise + M365 |
$1K–$25K |
12 months |
$150K tier requires Microsoft accelerator partnership or strong VC. Bootstrapped path: $1K → $5K. Credits expire after 12 months. |
| AWS ActivateLargest reach | Up to $100K "Portfolio" tier |
$1K–$25K |
2 years |
Activate Provider (VC/accelerator) referral required for full $100K. Self-serve "Founders" path is much smaller. Lifetime caps enforced. |
| Oracle for StartupsLess publicized | $5K–$500K tiered by stage |
$5K–$50K |
2 years |
Less aggressive marketing. Strongest for AI startups needing GPU capacity given OCI's GPU economics. Often combined w/ NVIDIA Inception. |
Three configurations clients commonly ask about. List pricing only — no commitment discounts applied. Teal-highlighted cell is the low-cost winner for each scenario.
The line items most commonly underbudgeted in client engagements. These costs are one-time or front-loaded — not part of the ongoing run-rate, but they determine whether year-1 ROI numbers actually land.
| Cost Category | Typical Range | What Drives It |
|---|---|---|
| Discovery & assessmentFirst 2–4 weeks | $5K–$50K | Inventory current state, dependency mapping, TCO modeling, risk assessment. AWS Migration Evaluator and Azure Migrate automate ~70% of inventory but humans still validate. Skip this and you'll re-do it later at 3× the cost. |
| Account / landing zone setupFoundation | $10K–$80K | Multi-account / management group hierarchy, IAM/Entra/Cloud IAM, networking (VPCs/VNets/VCN), guardrails, FinOps tagging. Done badly here = years of cleanup. AWS Control Tower / Azure Landing Zones / GCP Foundation accelerate this. |
| Data migrationBandwidth + tools | $5K–$200K+ | Ingress is free, but transferring 100 TB+ takes weeks over the internet. AWS Snowball ($300–$1K/device), Azure Data Box (similar), Google Transfer Appliance, OCI Data Transfer all charge per appliance + shipping. Database Migration Service tools are usually free but compute/replication isn't. |
| Training & certificationPer engineer | $500–$3K each | Cloud Practitioner / AZ-900 / Google Cloud Digital Leader: $100 exam + ~40 hrs prep. Solutions Architect / AZ-104 / Professional Cloud Architect: $165–$200 exam + 80–120 hrs. Plan 4–8 weeks of part-time study per engineer. For a 10-person platform team, budget $20K–$50K total in fees + opportunity cost. |
| Application refactoringThe biggest variable | $20K–$2M+ | Lift-and-shift: cheapest, $5K–$50K per app. Refactor for cloud-native: $50K–$500K per app. Rewrite (e.g., monolith → microservices): $200K–$2M+. Most clients underestimate by 2–3× because the long tail of integration testing, monitoring, and runbook conversion gets skipped in initial scoping. |
| Professional services / SIExternal help | $25K–$1M+ | Hourly rates: $150–$300 senior cloud architect; $200–$400 partner-firm rates. AWS, Azure, GCP all have funded migration programs (MAP, AMMP, RAMP) that offset 25–50% of partner-led migration costs for committed-spend customers. Clients leave this money on the table 80% of the time. |
| Support tier subscriptionRequired for production | $100–$15K/mo | Basic tier is included. Production needs Business / Standard ($100/mo or 3% of bill, whichever higher). Enterprise (24/7 TAM) is $15K/mo minimum or 10% of bill. Azure Premier Support and GCP Premium are similar. Most clients pick "Developer" to save money, then need Enterprise for production go-live and pay for both. Budget Business minimum from day 1. |
| Compliance & auditRegulated industries | $15K–$500K | HIPAA, SOC 2, PCI-DSS, FedRAMP, GDPR. Each cloud has compliance certs covering the platform, but YOUR workloads need separate audits. Budget for AWS Audit Manager / Azure Compliance Manager / Compliance Reports + external auditor + remediation. FedRAMP High alone is a 12–18 month, $500K–$2M effort. |
| FinOps tooling & governanceOften skipped, then added year 2 | $0–$50K/yr | Native: AWS Cost Explorer / Azure Cost Management / GCP Cost Management — all free. 3rd-party (Vantage, Apptio, Finout, CloudZero, Spendark) typically 1–3% of cloud spend or flat $1K–$10K/mo. Pay-back in 60–90 days for any client over $50K/mo cloud spend. |
| Cross-cloud egress (if migrating)The "exit tax" | $0–$50K+ | 100 TB out of AWS = ~$9,000 in egress alone, plus rebuilding destination infra. Azure waives egress for permanent migrations off the platform (1 of the rare anti-lock-in moves). GCP and AWS don't. Multi-cloud architectures should sit data on the cloud with the most expensive egress (or use OCI's 10TB/mo free). |
Six positioning takeaways for JCB client conversations. These are the practical implications of everything above.
Don't lead with compute pricing
It's a wash and the client will eventually figure that out. Lead with egress economics, support tier, and the onboarding ladder. Those are the differences that compound into 6-figure annual deltas.
OCI is the egress play
For any client moving more than 10 TB/month off platform, OCI's 10 TB free + $0.0085/GB beyond is structurally 10× cheaper. For data-heavy SaaS, video, IoT, or analytics — model it. The savings often pay for migration within 12 months.
Onboarding is 70% of year-1 cost
For most enterprises, the first 12 months are ~30% run rate, ~70% migration / refactoring / training / professional services. Set client expectations correctly. The "cloud is cheaper" narrative gets blown up if year-1 sticker shock hits before steady state.
Always pursue funded migration programs
AWS MAP, Azure Migrate & Modernize (AMMP), GCP Rapid Migration Program (RAMP) all offset 25–50% of partner-led migration spend for committed-spend customers. Most clients don't know these exist. JCB should walk every Azure prospect through AMMP eligibility on the first call.
EDP / MACC negotiation unlocks at $1M/yr
AWS Enterprise Discount Program: 10–25% off list at $1M+/yr commit. Azure MACC: similar. Critical leverage moment is at $50K/mo run rate — that's when you should start pulling competing quotes from rival clouds before signing. This is the highest-ROI conversation to have with clients.
Support tier is non-optional for production
Most clients pick the cheap support tier to save money, then need it upgraded for production go-live and pay double. Build "Business / Standard" support into the day-1 budget ($100/mo minimum or 3% of bill). For regulated workloads, Enterprise tier ($15K/mo) is a non-negotiable line item.
Important: All prices reflect April 2026 list rates and change without notice. Cloud providers update pricing pages without versioning. Always validate against the provider's official calculator before client commitments. Negotiated discounts (EDP, MACC, BYOL) can move the numbers 10–30%.
H1 2026 capacity note: After Q2 CY2026 earnings, all four hyperscalers reported 2027 capacity largely reserved and 2028 partly reserved. GPU-tier instance availability (H100, GB200, Trainium 2/3, Blackwell) is now the binding constraint on onboarding timelines for AI workloads at scale. Plan reservation conversations 6-12 months earlier than 2024-25 norms.
Compiled for JCB Technology · Cloud Advisory · Last reviewed August 03, 2026 · Refresh cadence: quarterly post-earnings for run-rate; semi-annually for onboarding ladder.