AWS c7gn.12xlargevsAWS c7gn.2xlarge

c7gn.12xlarge pairs 48 vCPUs with 96GB of RAM at $2.9952/hr On-Demand (about $2157/mo at 24×7). c7gn.2xlarge pairs 8 vCPUs with 16GB at $0.4992/hr (~$359/mo). c7gn.2xlarge is 83% cheaper per hour than c7gn.12xlarge ($2.4960/hr gap).

Because both instances are in the **c7gn 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: c7gn.12xlarge gives you 48 vCPUs and 96GB of RAM, c7gn.2xlarge gives you 8 vCPUs and 16GB. 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 c7gn.2xlarge delivers ~500% more single-thread Sysbench score per dollar (1007 vs 6044 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 (144378 vs 23894) are what to weigh. Spot pricing flips many of these comparisons — when c7gn.12xlarge drops to $0.7015/hr and c7gn.2xlarge drops to $0.1401/hr, the cheap-per-hour winner can swing meaningfully.

In practice, pick c7gn.12xlarge when your workload is closer to compute-optimized (CPU-bound work — batch processing, web servers under sustained load, game servers). Pick c7gn.2xlarge 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.