AWS i2.4xlargevsAWS i2.xlarge

i2.4xlarge pairs 16 vCPUs with 122GB of RAM at $3.4100/hr On-Demand (about $2455/mo at 24×7). i2.xlarge pairs 4 vCPUs with 30.5GB at $0.8530/hr (~$614/mo). i2.xlarge is 75% cheaper per hour than i2.4xlarge ($2.5570/hr gap).

Because both instances are in the **i2 family**, the only thing that changes between them is sizing — same silicon, same architecture (Intel Xeon (x86_64)), same burstable/sustained behavior. The choice is purely about how much capacity you actually need: i2.4xlarge gives you 16 vCPUs and 122GB of RAM, i2.xlarge gives you 4 vCPUs and 30.5GB. AWS scales pricing close to linearly within a family, so picking the right size is mostly about right-sizing your workload, not getting a better deal per vCPU.

On raw price-per-performance, the two are i2.xlarge delivers ~300% more single-thread Sysbench score per dollar (743 vs 2974 points per $1/hr). That's the cleanest signal we have for "which one runs your workload faster per dollar," but it only matters if your workload is single-thread-bound; for parallel workloads the multi-core scores (23942 vs 5912) are what to weigh. Spot pricing flips many of these comparisons — when i2.4xlarge drops to $0.9401/hr and i2.xlarge drops to $0.1086/hr, the cheap-per-hour winner can swing meaningfully.

In practice, pick i2.4xlarge when your workload is closer to storage-optimized (NVMe SSD) (I/O-bound work needing low-latency NVMe local storage — NoSQL, search). Pick i2.xlarge when it's closer to storage-optimized (NVMe SSD) (I/O-bound work needing low-latency NVMe local storage — NoSQL, search). When neither side is obviously right, the cheaper hourly rate usually wins for fault-tolerant batch workloads, while the higher single-core score usually wins for latency-sensitive web traffic. The regional pricing tables linked from each instance page below show where each is currently cheapest — sometimes a >20% regional gap flips the comparison entirely.