AWS z1d.2xlargevsAWS z1d.6xlarge

z1d.2xlarge pairs 8 vCPUs with 64GB of RAM at $0.7440/hr On-Demand (about $536/mo at 24×7). z1d.6xlarge pairs 24 vCPUs with 192GB at $2.2320/hr (~$1607/mo). z1d.2xlarge is 200% cheaper per hour than z1d.6xlarge ($1.4880/hr gap).

Because both instances are in the **z1d 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: z1d.2xlarge gives you 8 vCPUs and 64GB of RAM, z1d.6xlarge gives you 24 vCPUs and 192GB. 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 z1d.2xlarge delivers ~200% more single-thread Sysbench score per dollar (1839 vs 613 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 (8380 vs 25318) are what to weigh. Spot pricing flips many of these comparisons — when z1d.2xlarge drops to $0.2775/hr and z1d.6xlarge drops to $0.7388/hr, the cheap-per-hour winner can swing meaningfully.

In practice, pick z1d.2xlarge when your workload is closer to high-frequency compute (workloads needing the highest single-thread clock — EDA, certain RDBMS). Pick z1d.6xlarge when it's closer to high-frequency compute (workloads needing the highest single-thread clock — EDA, certain RDBMS). 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.