PHP vs Node.js: Can PHP 8.5 Outperform Node in Real‑World Benchmarks?

In today’s web development landscape, both PHP and Node.js are popular server‑side technologies. With the release of the PHP 8 series and its JIT compiler, the performance picture has shifted.

PHP version evolution: continuous performance gains

The PHP 8 series has delivered noticeable performance improvements. Benchmarks from PHP 7.4 to PHP 8.3 show a steady increase in request handling capacity.

PHP 7.4: 147 req/s

PHP 8.1: 151 req/s

PHP 8.2: 153 req/s

PHP 8.3: 165 req/s

From PHP 7.4 to PHP 8.3, request throughput rose about 12%, and the trend continues with each new release.

On Laravel 10.16.1 the gains are even more pronounced:

PHP 8.1: 611 req/s

PHP 8.2: 670 req/s (≈9.7% increase)

PHP 8.3: 925 req/s (≈38% increase)

The improvements stem mainly from ongoing JIT optimizations and core component enhancements.

PHP 8.3 vs Node.js: direct performance comparison

Comparing PHP 8.3 with Node.js yields different results depending on the workload and testing methodology.

CPU‑intensive tasks

In CPU‑bound scenarios such as a bubble‑sort benchmark, PHP 7.1 already outperformed Node.js 7.9. Given PHP 8.3’s advances over PHP 7.1, it is reasonable to expect PHP 8.3 to have an edge over modern Node.js versions for pure computation.

I/O‑intensive tasks

Node.js’s non‑blocking, event‑driven architecture gives it a natural advantage for high‑concurrency I/O operations, keeping latency low in real‑time communication and streaming use cases.

Web application framework performance

In real‑world web scenarios, PHP 8.3 with OPcache and JIT shows strong results. For example, on Drupal 10.1.1:

PHP 8.1: 922 req/s

PHP 8.2: 941 req/s

PHP 8.3: 1432 req/s (≈52% increase)

Node.js performance in similar settings depends heavily on the chosen framework and implementation.

JIT compiler: a performance revolution for PHP

PHP 8.0 introduced a JIT (Just‑In‑Time) compiler that translates PHP code to machine code, allowing the CPU to execute it directly.

JIT yields especially large gains for CPU‑heavy workloads, sometimes delivering more than a 4× speedup for pure mathematical calculations, while typical WordPress workloads see a 10‑15% improvement.

Enabling JIT in php.ini requires the following configuration:

zend_extension=opcache.so
opcache.enable=1
opcache.enable_cli=1
opcache.jit_buffer_size=100M

PHP 8.5: performance predictions and expectations

Although PHP 8.5’s exact features are not finalized, historical trends allow reasonable forecasts:

Further JIT optimizations could add another 5‑10% boost for certain compute‑intensive tasks.

Memory usage is expected to continue decreasing with each release.

Overall execution speed may improve 5‑15% compared with PHP 8.3.

Practical performance considerations

Runtime architecture differences

Node.js uses a single‑threaded event loop and non‑blocking I/O, excelling at I/O‑bound workloads.

PHP traditionally runs via multi‑process models (e.g., PHP‑FPM), giving each request its own context.

Asynchronous PHP frameworks like Swoole are narrowing the gap by offering event‑driven architectures.

Ecosystem and toolchain

Node.js benefits from the extensive NPM ecosystem.

PHP relies on Composer and mature frameworks such as Laravel and Symfony.

Both platforms have robust profiling tools (e.g., Blackfire, Tideways).

Performance testing methods

Reliable benchmarking can be performed with tools such as:

Apache Bench (ab)

Siege

K6

PHPBench for PHP‑specific tests

Conclusion: How to choose

Selection should be based on the specific use case:

Traditional web sites, CMS, and e‑commerce platforms benefit from PHP 8.3 (and future 8.5) due to its mature ecosystem and steady performance gains.

High‑concurrency, real‑time applications (e.g., chat, collaborative tools) may favor Node.js.

CPU‑intensive tasks and existing PHP codebases can leverage PHP 8.3/8.5’s JIT for better performance.

In micro‑service architectures, both technologies can coexist, playing to their strengths.

Regularly benchmark your actual workloads, as generic benchmarks may not reflect real‑world performance. Ultimately, good coding practices, effective caching, and optimized database queries often have a larger impact than the language choice itself.