AWS t2.2xlargevsAWS t4g.2xlarge
t2.2xlarge
t4g.2xlarge
t2.2xlarge vs t4g.2xlarge: how to choose
t2.2xlarge pairs 8 vCPUs with 32GB of RAM at $0.3712/hr On-Demand (about $267/mo at 24×7). t4g.2xlarge pairs 8 vCPUs with 32GB at $0.2688/hr (~$194/mo). t4g.2xlarge is 28% cheaper per hour than t2.2xlarge ($0.1024/hr gap).
These are different generations of the same series. **t4g.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. **t2.2xlarge** 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 t4g.2xlarge delivers ~67% more single-thread Sysbench score per dollar (6199 vs 10383 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 (17555 vs 22121) are what to weigh. Spot pricing flips many of these comparisons — when t2.2xlarge drops to $0.1022/hr and t4g.2xlarge drops to $0.0894/hr, the cheap-per-hour winner can swing meaningfully.
In practice, pick t2.2xlarge when your workload is closer to burstable general-purpose (bursty traffic — web apps, dev/test boxes, CI runners, small databases). Pick t4g.2xlarge when it's closer to burstable general-purpose (bursty traffic — web apps, dev/test boxes, CI runners, small databases). 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