AWS c8id.largevsAWS c8id.metal-48xl

c8id.large pairs 2 vCPUs with 4GB of RAM at $0.1109/hr On-Demand (about $80/mo at 24×7). c8id.metal-48xl pairs 192 vCPUs with 384GB at $10.6445/hr (~$7664/mo). c8id.large is 9500% cheaper per hour than c8id.metal-48xl ($10.5336/hr gap).

Because both instances are in the **c8id 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: c8id.large gives you 2 vCPUs and 4GB of RAM, c8id.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 3331/3534 for c8id.large and pending for c8id.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 c8id.large when your workload is closer to compute-optimized (CPU-bound work — batch processing, web servers under sustained load, game servers). Pick c8id.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.