AWS c5d.2xlargevsAWS c5d.4xlarge

c5d.2xlarge pairs 8 vCPUs with 16GB of RAM at $0.3840/hr On-Demand (about $276/mo at 24×7). c5d.4xlarge pairs 16 vCPUs with 32GB at $0.7680/hr (~$553/mo). c5d.2xlarge is 100% cheaper per hour than c5d.4xlarge ($0.3840/hr gap).

Because both instances are in the **c5d 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: c5d.2xlarge gives you 8 vCPUs and 16GB of RAM, c5d.4xlarge gives you 16 vCPUs and 32GB. 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 c5d.2xlarge delivers ~100% more single-thread Sysbench score per dollar (3023 vs 1512 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 (7065 vs 14282) are what to weigh. Spot pricing flips many of these comparisons — when c5d.2xlarge drops to $0.1654/hr and c5d.4xlarge drops to $0.3311/hr, the cheap-per-hour winner can swing meaningfully.

In practice, pick c5d.2xlarge when your workload is closer to compute-optimized (CPU-bound work — batch processing, web servers under sustained load, game servers). Pick c5d.4xlarge when it's closer to compute-optimized (CPU-bound work — batch processing, web servers under sustained load, game servers). 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.