AWS c6id.12xlargevsAWS c6id.xlarge

c6id.12xlarge pairs 48 vCPUs with 96GB of RAM at $2.4192/hr On-Demand (about $1742/mo at 24×7). c6id.xlarge pairs 4 vCPUs with 8GB at $0.2016/hr (~$145/mo). c6id.xlarge is 92% cheaper per hour than c6id.12xlarge ($2.2176/hr gap).

Because both instances are in the **c6id 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: c6id.12xlarge gives you 48 vCPUs and 96GB of RAM, c6id.xlarge gives you 4 vCPUs and 8GB. 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 c6id.xlarge delivers ~1099% more single-thread Sysbench score per dollar (1231 vs 14762 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 (74358 vs 6177) are what to weigh. Spot pricing flips many of these comparisons — when c6id.12xlarge drops to $0.6610/hr and c6id.xlarge drops to $0.0696/hr, the cheap-per-hour winner can swing meaningfully.

In practice, pick c6id.12xlarge when your workload is closer to compute-optimized (CPU-bound work — batch processing, web servers under sustained load, game servers). Pick c6id.xlarge 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.