Performance of WebAssembly runtimes in 2026 - Frank DENIS random thoughts.
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I wanted to know if WebAssembly runtimes are getting faster.
This is a follow-up to the earlier libsodium WebAssembly benchmarks from 2019, 2021 and 2023.
Not “does the newest version beat native code in one microbenchmark?”, and not “which runtime has the prettiest benchmark chart?”, but something more boring and more useful:
If I take the same C crypto code, compile it to WebAssembly, and run it on the latest runtime, a runtime from one year ago, and a runtime from two years ago, are things actually improving?
So I benchmarked libsodium on WebAssembly runtimes released around June 2024, June 2025, and June 2026.
The short version:
wasmer is the best performer, but WAVM, WAMR and Wasmtime are close.
WAVM has the best optimizer, and is able to generate very fast code out from baseline, portable WebAssembly
The new WebAssembly wide_arithmetic instructions are a big deal for crypto code when runtimes support them.
What I measured
The test program is libsodium’s benchmark suite, built from libsodium commit 8e3be8615ba6adcd7babaecf5e76f516890ba5fb.
I built one native baseline and several WebAssembly variants:
native x86-64, compiled with Zig using the local CPU target
plain WebAssembly
WebAssembly with lime1
WebAssembly with lime1 and simd128
WebAssembly with lime1, simd128, and wide_arithmetic
For the native reference, libsodium was built with -Dcpu=native. For wasm2c, the generated C was compiled with zig cc -O3 -march=native.
For WAMR, I used AOT mode: wamrc compiled each .wasm file to an .aot file, and iwasm ran the resulting AOT file. wamrc doesn’t accept --cpu=native, so I used --target=x86_64 --cpu=x86-64-v4 --opt-level=3, which matches the host’s available x86-64 feature level and works across the WAMR versions that could compile these modules.
The native command was:
zig build -Denable_benchmarks -Doptimize=ReleaseFast -Dcpu=native -Diterations=3
The WebAssembly commands were the same shape, with a wasm32-wasi target and the feature-specific CPU strings:
zig build -Denable_benchmarks -Dtarget=wasm32-wasi -Doptimize=ReleaseFast -Diterations=3<br>zig build -Denable_benchmarks -Dtarget=wasm32-wasi -Doptimize=ReleaseFast -Dcpu=lime1 -Diterations=3<br>zig build -Denable_benchmarks -Dtarget=wasm32-wasi -Doptimize=ReleaseFast -Dcpu=lime1+simd128 -Diterations=3<br>zig build -Denable_benchmarks -Dtarget=wasm32-wasi -Doptimize=ReleaseFast -Dcpu=lime1+simd128+wide_arithmetic -Diterations=3
The host was an AMD Ryzen AI 9 HX 470 with 12 cores and 24 threads. CPU boost was disabled and the maximum CPU frequency was 2 GHz. The OS was Linux 7.1.0-rc7, and Zig was 0.17.0-dev.948+e949341b7.
The numbers below are the geometric mean of per-benchmark slowdowns relative to the native build. Lower is better. A value of 2.0 means “twice as slow as native” on this machine.
I used ITERATIONS=3, so the very small libsodium tests are noisy and quantized. Rows reporting zero time were excluded from the aggregate.
Versions
For every runtime except WAVM, I used the latest stable release available on June 23, 2026, plus a stable release from roughly one year earlier and one from roughly two years earlier.
Runtime<br>2024<br>2025<br>2026
Bun<br>1.1.16<br>1.2.17<br>1.3.14
Node<br>22.3.0<br>24.2.0<br>26.3.1
WAMR<br>2.1.0<br>2.3.1<br>2.4.4
WABT wasm2c<br>1.0.35<br>1.0.37<br>1.0.41
WasmEdge<br>0.14.0<br>0.14.1<br>0.17.0
Wasmer<br>4.3.2<br>6.0.1<br>7.1.0
Wasmtime<br>22.0.0<br>34.0.0<br>46.0.0
WAVM<br>n/a<br>n/a<br>nightly/2026-04-05
Wazero<br>1.7.3<br>1.9.0<br>1.12.0
WAVM is awkward to compare historically. The old available nightly collapsed to a 2022 binary for both the 2024 and 2025 slots, and that binary refused to run on this machine. I only kept the 2026 nightly.
WAMR 2.1.0, the selected 2024 release, installed fine but its AOT compiler failed on these Zig-generated modules with invalid WASM stack data type. I kept the version in the matrix, but didn’t include an aggregate for it.
Baseline WebAssembly
This is the plain WebAssembly build, without lime1, SIMD, or wide arithmetic.
There isn’t one universal trend.
Wasmtime steadily improved: 2.67x native in 2024, 2.54x in 2025, 2.41x in 2026. It got faster every year, and the gains land in the tenths place, above the noise.
Node also improved slowly, from 8.60x native to 7.95x native.
Wazero was basically flat: 4.84x, 4.70x, 4.72x native. No real movement over two years.
WAMR in AOT mode was already fast in 2025 and stayed there in 2026: 1.59x native, then 1.57x native, the same within this benchmark’s noise. I don’t have a complete 2024 WAMR number because WAMR 2.1.0 couldn’t compile these modules.
Wasmer regressed in the 2025 release I tested, then recovered in 2026. The 2026 baseline barely beats 2024.
wasm2c improved modestly in 2026. It remains one of the best options if ahead-of-time translation to native C is acceptable for your deployment model.
Bun is the outlier. Its 2024 and 2025 results were far behind, but the 2026 result is...