AWS c6g.16xlargevsAWS c6gd.12xlarge
c6g.16xlarge
c6gd.12xlarge
c6g.16xlarge vs c6gd.12xlarge: how to choose
c6g.16xlarge pairs 64 vCPUs with 128GB of RAM at $2.1760/hr On-Demand (about $1567/mo at 24×7). c6gd.12xlarge pairs 48 vCPUs with 96GB at $1.8432/hr (~$1327/mo). c6gd.12xlarge is 15% cheaper per hour than c6g.16xlarge ($0.3328/hr gap).
Both are generation-6 compute-optimized instances, but they run on different silicon: **c6g.16xlarge** is AWS Graviton (ARM64), **c6gd.12xlarge** is AWS Graviton (ARM64). AMD variants (suffix `a`) are typically 10% cheaper than Intel siblings at comparable single-thread performance. Graviton variants (suffix `g`) are usually 20–40% cheaper but require ARM64-compatible binaries — most modern Linux stacks are fine, but verify any compiled extensions, native modules, or third-party binaries before migrating. Same vCPU/RAM ratio, same network performance class, different processor.
On raw price-per-performance, the two are c6gd.12xlarge delivers ~18% more single-thread Sysbench score per dollar (1290 vs 1522 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 134277) are what to weigh. Spot pricing flips many of these comparisons — when c6g.16xlarge drops to $0.3130/hr and c6gd.12xlarge drops to $0.4785/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 c6gd.12xlarge 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.
On-Demand Price Comparison
Monthly trajectory
Spot Price Comparison
30-Day daily trajectory