Language Speed Differences, in Actual Multiples
You've heard "this language is faster" plenty of times, but it's hard to know exactly how much faster without a number attached. This tool uses C as the baseline (1x) and applies widely cited benchmark trends to approximate relative speed multipliers. Pick two languages and see instantly how many times faster or slower one is compared to the other.
Relative Multiplier by Language (vs. C)
| Language | Relative Multiplier |
|---|---|
| C | 1.0x |
| Rust | 1.05x |
| Go | 1.3x |
| Java | 1.8x |
| C# | 1.9x |
| JavaScript (Node.js) | 2.5x |
| PHP | 3.5x |
| Ruby | 25x |
| Python | 30x |
Don't Pick a Language on Speed Alone
These numbers approximate general CPU-bound benchmark trends only. Real-world service performance is far more often dominated by I/O wait, network calls, and database queries. Development speed, ecosystem maturity, and your team's familiarity matter just as much as raw execution speed.
Frequently Asked Questions
No, it's a reference approximation based on commonly cited benchmark trends. Real workloads and optimization level can shift results significantly.
Both are interpreted, dynamically typed languages with heavy bytecode-interpretation overhead. JIT compilation or C extensions can narrow the gap.
No. Most services are bottlenecked by I/O wait time far more than raw execution speed, so development speed and ecosystem matter just as much.