AWS c7g.8xlargevsAWS c7g.large

c7g.8xlarge pairs 32 vCPUs with 64GB of RAM at $1.1600/hr On-Demand (about $835/mo at 24×7). c7g.large pairs 2 vCPUs with 4GB at $0.0725/hr (~$52/mo). c7g.large is 94% cheaper per hour than c7g.8xlarge ($1.0875/hr gap).

Because both instances are in the **c7g 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: c7g.8xlarge gives you 32 vCPUs and 64GB of RAM, c7g.large gives you 2 vCPUs and 4GB. 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 c7g.large delivers ~1499% more single-thread Sysbench score per dollar (2601 vs 41586 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 (96227 vs 5809) are what to weigh. Spot pricing flips many of these comparisons — when c7g.8xlarge drops to $0.3419/hr and c7g.large drops to $0.0241/hr, the cheap-per-hour winner can swing meaningfully.

In practice, pick c7g.8xlarge when your workload is closer to compute-optimized (CPU-bound work — batch processing, web servers under sustained load, game servers). Pick c7g.large 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.