AWS m7i.2xlargevsAWS m7i-flex.2xlarge

m7i.2xlarge pairs 8 vCPUs with 32GB of RAM at $0.4032/hr On-Demand (about $290/mo at 24×7). m7i-flex.2xlarge pairs 8 vCPUs with 32GB at $0.3830/hr (~$276/mo). m7i-flex.2xlarge is 5% cheaper per hour than m7i.2xlarge ($0.0202/hr gap).

m7i.2xlarge (general-purpose, Intel Xeon (x86_64)) and m7i-flex.2xlarge (general-purpose, Intel Xeon (x86_64)) target different workload shapes. The vCPU:RAM ratios are different (8:32 vs 8:32), and depending on the architectures involved you may also see meaningful single-thread performance and per-hour-cost differences. This kind of cross-category comparison is most useful when you're early in the design phase and not yet sure whether your workload is CPU-bound, memory-bound, or balanced — once that's clear, the right pick is usually obvious.

On raw price-per-performance, the two are m7i-flex.2xlarge delivers ~9% more single-thread Sysbench score per dollar (7780 vs 8456 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 (12731 vs 13467) are what to weigh. Spot pricing flips many of these comparisons — when m7i.2xlarge drops to $0.1608/hr and m7i-flex.2xlarge drops to $0.1498/hr, the cheap-per-hour winner can swing meaningfully.

In practice, pick m7i.2xlarge when your workload is closer to general-purpose (balanced general-purpose workloads with a 1:4 vCPU-to-memory ratio). Pick m7i-flex.2xlarge when it's closer to general-purpose (balanced general-purpose workloads with a 1:4 vCPU-to-memory ratio). 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.