AWS c7gd.4xlargevsAWS c7gd.metal

c7gd.4xlarge pairs 16 vCPUs with 32GB of RAM at $0.7258/hr On-Demand (about $523/mo at 24×7). c7gd.metal pairs 64 vCPUs with 128GB at $2.9030/hr (~$2090/mo). c7gd.4xlarge is 300% cheaper per hour than c7gd.metal ($2.1772/hr gap).

Because both instances are in the **c7gd 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: c7gd.4xlarge gives you 16 vCPUs and 32GB of RAM, c7gd.metal gives you 64 vCPUs and 128GB. 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 c7gd.4xlarge delivers ~299% more single-thread Sysbench score per dollar (4157 vs 1041 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 (48033 vs 192817) are what to weigh. Spot pricing flips many of these comparisons — when c7gd.4xlarge drops to $0.2179/hr and c7gd.metal drops to $0.5351/hr, the cheap-per-hour winner can swing meaningfully.

In practice, pick c7gd.4xlarge when your workload is closer to compute-optimized (CPU-bound work — batch processing, web servers under sustained load, game servers). Pick c7gd.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.