AWS c7a.4xlargevsAWS c7a.metal-48xl

c7a.4xlarge pairs 16 vCPUs with 32GB of RAM at $0.8211/hr On-Demand (about $591/mo at 24×7). c7a.metal-48xl pairs 192 vCPUs with 384GB at $9.8534/hr (~$7094/mo). c7a.4xlarge is 1100% cheaper per hour than c7a.metal-48xl ($9.0323/hr gap).

Because both instances are in the **c7a family**, the only thing that changes between them is sizing — same silicon, same architecture (AMD EPYC (x86_64)), same burstable/sustained behavior. The choice is purely about how much capacity you actually need: c7a.4xlarge gives you 16 vCPUs and 32GB of RAM, c7a.metal-48xl gives you 192 vCPUs and 384GB. 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.

Benchmark data for at least one of these instances is still being collected, so a direct performance-per-dollar comparison isn't possible yet. Sysbench scores are 4338/71293 for c7a.4xlarge and pending for c7a.metal-48xl. Check back as the benchmark queue completes — newer-generation instances typically score 10–30% higher on single-thread and 15–50% higher on multi-core vs the previous generation in the same series.

In practice, pick c7a.4xlarge when your workload is closer to compute-optimized (CPU-bound work — batch processing, web servers under sustained load, game servers). Pick c7a.metal-48xl 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.