AWS c8id.4xlargevsAWS c8id.large

c8id.4xlarge pairs 16 vCPUs with 32GB of RAM at $0.8870/hr On-Demand (about $639/mo at 24×7). c8id.large pairs 2 vCPUs with 4GB at $0.1109/hr (~$80/mo). c8id.large is 87% cheaper per hour than c8id.4xlarge ($0.7762/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.4xlarge gives you 16 vCPUs and 32GB of RAM, c8id.large gives you 2 vCPUs and 4GB. 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 c8id.large delivers ~694% more single-thread Sysbench score per dollar (3784 vs 30041 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 (28273 vs 3534) are what to weigh. Spot pricing flips many of these comparisons — when c8id.4xlarge drops to $0.2894/hr and c8id.large drops to $0.0384/hr, the cheap-per-hour winner can swing meaningfully.

In practice, pick c8id.4xlarge when your workload is closer to compute-optimized (CPU-bound work — batch processing, web servers under sustained load, game servers). Pick c8id.large 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.