AWS c6g.16xlargevsAWS c6g.metal

c6g.16xlarge pairs 64 vCPUs with 128GB of RAM at $2.1760/hr On-Demand (about $1567/mo at 24×7). c6g.metal pairs 64 vCPUs with 128GB at $2.1760/hr (~$1567/mo). Both are priced identically per hour on-demand.

c6g.16xlarge (compute-optimized, AWS Graviton (ARM64)) and c6g.metal (compute-optimized, AWS Graviton (ARM64)) target different workload shapes. The vCPU:RAM ratios are different (64:128 vs 64:128), and depending on the architectures involved you may also see meaningful single-thread performance and per-hour-cost differences. This kind of cross-category comparison is most useful when you're early in the design phase and not yet sure whether your workload is CPU-bound, memory-bound, or balanced — once that's clear, the right pick is usually obvious.

On raw price-per-performance, the two are roughly tied on single-thread performance per dollar (1290 vs 1292 Sysbench 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 (179061 vs 179406) are what to weigh. Spot pricing flips many of these comparisons — when c6g.16xlarge drops to $0.3130/hr and c6g.metal drops to $0.6400/hr, the cheap-per-hour winner can swing meaningfully.

In practice, pick c6g.16xlarge when your workload is closer to compute-optimized (CPU-bound work — batch processing, web servers under sustained load, game servers). Pick c6g.metal 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.