AWS t3.xlargevsAWS t4g.xlarge
t3.xlarge
t4g.xlarge
t3.xlarge vs t4g.xlarge: how to choose
t3.xlarge pairs 4 vCPUs with 16GB of RAM at $0.1664/hr On-Demand (about $120/mo at 24×7). t4g.xlarge pairs 4 vCPUs with 16GB at $0.1344/hr (~$97/mo). t4g.xlarge is 19% cheaper per hour than t3.xlarge ($0.0320/hr gap).
These are different generations of the same series. **t4g.xlarge** 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. **t3.xlarge** 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.xlarge delivers ~235% more single-thread Sysbench score per dollar (6136 vs 20565 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 (3116 vs 10875) are what to weigh. Spot pricing flips many of these comparisons — when t3.xlarge drops to $0.0514/hr and t4g.xlarge drops to $0.0535/hr, the cheap-per-hour winner can swing meaningfully.
In practice, pick t3.xlarge when your workload is closer to burstable general-purpose (bursty traffic — web apps, dev/test boxes, CI runners, small databases). Pick t4g.xlarge 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