AWS c1.xlargevsAWS c4.xlarge

c1.xlarge pairs 8 vCPUs with 7GB of RAM at $0.5200/hr On-Demand (about $374/mo at 24×7). c4.xlarge pairs 4 vCPUs with 7.5GB at $0.1990/hr (~$143/mo). c4.xlarge is 62% cheaper per hour than c1.xlarge ($0.3210/hr gap).

These are different generations of the same series. **c4.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. **c1.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 c4.xlarge delivers ~298% more single-thread Sysbench score per dollar (1487 vs 5915 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 (5051 vs 3605) are what to weigh. Spot pricing flips many of these comparisons — when c1.xlarge drops to $0.1738/hr and c4.xlarge drops to $0.0597/hr, the cheap-per-hour winner can swing meaningfully.

In practice, pick c1.xlarge when your workload is closer to compute-optimized (CPU-bound work — batch processing, web servers under sustained load, game servers). Pick c4.xlarge when it's closer to compute-optimized (CPU-bound work — batch processing, web servers under sustained load, game servers). 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.