> For the complete documentation index, see [llms.txt](https://donedeal0.gitbook.io/superdiff/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://donedeal0.gitbook.io/superdiff/competition/benchmark.md).

# Benchmark

{% hint style="success" %}

#### ENVIRONMENT AND METHOD

Node.js 24.12.0 (LTS) • MacBook Pro M2 (2023, Sequoia 15.1) • 16GB RAM.

Warm up runs, then each script is executed 20 times, and we keep the median time. To minimize garbage collection and cross‑benchmark interference, all scenarios are run individually. All benchmark scripts are included so you can reproduce the results locally.
{% endhint %}

***

### LIST DIFF

| Scenario         | Superdiff    | arr-diff   | deep-diff |
| ---------------- | ------------ | ---------- | --------- |
| 10k items array  | **1.84 ms**  | 32.95 ms   | 4.74 ms   |
| 100k items array | **17.43 ms** | 3363.15 ms | 50.36 ms  |

### OBJECT DIFF

| Scenario              | superdiff    | deep-object-diff | deep-diff  | microdiff   |
| --------------------- | ------------ | ---------------- | ---------- | ----------- |
| 10k flat object keys  | 2.27 ms      | 2.44 ms          | 39.37 ms   | **2.24 ms** |
| 100k flat object keys | **29.23 ms** | 31.86 ms         | 3784.50 ms | 29.51 ms    |
| 100k nested nodes     | **4.25 ms**  | 9.67 ms          | 16.51 ms   | 7.26 ms     |

### TEXT DIFF

| Scenario       | superdiff    | diff     |
| -------------- | ------------ | -------- |
| 10k words      | **1.38 ms**  | 3.86 ms  |
| 100k words     | **21.68 ms** | 45.93 ms |
| 10k sentences  | **2.30 ms**  | 5.61 ms  |
| 100k sentences | **21.95 ms** | 62.03 ms |

<sub>(Superdiff uses its</sub> <sub></sub><sub>`normal`</sub> <sub></sub><sub>accuracy settings to match diff's behavior)</sub>

***

{% hint style="info" %}
👉 Despite providing a full structural diff with a richer output, **Superdiff consistently outperforms or matches the fastest diff libraries**. It also scales linearly, even with deeply nested data.
{% endhint %}


---

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