AWS m7i-flex.largevsAWS m7i.large

m7i-flex.large pairs 2 vCPUs with 8GB of RAM at $0.0958/hr On-Demand (about $69/mo at 24×7). m7i.large pairs 2 vCPUs with 8GB at $0.1008/hr (~$73/mo). m7i-flex.large is 5% cheaper per hour than m7i.large ($0.0050/hr gap).

m7i-flex.large (general-purpose, Intel Xeon (x86_64)) and m7i.large (general-purpose, Intel Xeon (x86_64)) target different workload shapes. The vCPU:RAM ratios are different (2:8 vs 2:8), 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.large delivers ~6% more single-thread Sysbench score per dollar (34315 vs 32421 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 (3835 vs 3352) are what to weigh. Spot pricing flips many of these comparisons — when m7i-flex.large drops to $0.0410/hr and m7i.large drops to $0.0364/hr, the cheap-per-hour winner can swing meaningfully.

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