AWS i3.2xlargevsAWS i8g.2xlarge
i3.2xlarge
i8g.2xlarge
i3.2xlarge vs i8g.2xlarge: how to choose
i3.2xlarge pairs 8 vCPUs with 61GB of RAM at $0.6240/hr On-Demand (about $449/mo at 24×7). i8g.2xlarge pairs 8 vCPUs with 64GB at $0.6864/hr (~$494/mo). i3.2xlarge is 10% cheaper per hour than i8g.2xlarge ($0.0624/hr gap).
These are different generations of the same series. **i8g.2xlarge** 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. **i3.2xlarge** 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 i8g.2xlarge delivers ~235% more single-thread Sysbench score per dollar (1449 vs 4856 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 (5337 vs 26543) are what to weigh. Spot pricing flips many of these comparisons — when i3.2xlarge drops to $0.3862/hr and i8g.2xlarge drops to $0.1666/hr, the cheap-per-hour winner can swing meaningfully.
In practice, pick i3.2xlarge when your workload is closer to storage-optimized (NVMe SSD) (I/O-bound work needing low-latency NVMe local storage — NoSQL, search). Pick i8g.2xlarge when it's closer to storage-optimized (NVMe SSD) (I/O-bound work needing low-latency NVMe local storage — NoSQL, search). 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