AWS r6i.8xlargevsAWS r7i.8xlarge
r6i.8xlarge
r7i.8xlarge
r6i.8xlarge vs r7i.8xlarge: how to choose
r6i.8xlarge pairs 32 vCPUs with 256GB of RAM at $2.0160/hr On-Demand (about $1452/mo at 24×7). r7i.8xlarge pairs 32 vCPUs with 256GB at $2.1168/hr (~$1524/mo). r6i.8xlarge is 5% cheaper per hour than r7i.8xlarge ($0.1008/hr gap).
These are different generations of the same series. **r7i.8xlarge** is the newer generation, and AWS's pattern across generations is fairly consistent: ~10–15% better single-thread, 15–30% better multi-core, and similar or modestly higher per-hour pricing — so the price/performance per dollar usually improves with each generation. **r6i.8xlarge** is still available and still works (AWS doesn't retire instance types quickly), but for new workloads the newer generation is typically the better default unless you have a specific reason to pin to the older AMI or there's a meaningful regional pricing advantage today.
On raw price-per-performance, the two are r7i.8xlarge delivers ~5% more single-thread Sysbench score per dollar (1476 vs 1551 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 (49544 vs 53856) are what to weigh. Spot pricing flips many of these comparisons — when r6i.8xlarge drops to $0.7154/hr and r7i.8xlarge drops to $0.6143/hr, the cheap-per-hour winner can swing meaningfully.
In practice, pick r6i.8xlarge when your workload is closer to memory-optimized (memory-bound work — in-memory databases, real-time analytics, large caches). Pick r7i.8xlarge when it's closer to memory-optimized (memory-bound work — in-memory databases, real-time analytics, large caches). 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.
On-Demand Price Comparison
Monthly trajectory
Spot Price Comparison
30-Day daily trajectory