AWS c6gn.16xlargevsAWS c6gn.4xlarge

c6gn.16xlarge pairs 64 vCPUs with 128GB of RAM at $2.7648/hr On-Demand (about $1991/mo at 24×7). c6gn.4xlarge pairs 16 vCPUs with 32GB at $0.6912/hr (~$498/mo). c6gn.4xlarge is 75% cheaper per hour than c6gn.16xlarge ($2.0736/hr gap).

Because both instances are in the **c6gn family**, the only thing that changes between them is sizing — same silicon, same architecture (AWS Graviton (ARM64)), same burstable/sustained behavior. The choice is purely about how much capacity you actually need: c6gn.16xlarge gives you 64 vCPUs and 128GB of RAM, c6gn.4xlarge gives you 16 vCPUs and 32GB. 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 pending for c6gn.16xlarge and 2807/44674 for c6gn.4xlarge. 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 c6gn.16xlarge when your workload is closer to compute-optimized (CPU-bound work — batch processing, web servers under sustained load, game servers). Pick c6gn.4xlarge 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.