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dmatth1 merged 1 commit into from
Jun 18, 2026
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Update README.md #1

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16 changes: 3 additions & 13 deletions README.md
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Expand Up @@ -122,16 +122,14 @@ identical before timing, every reference called through the same raw API its own
benchmark uses, one back-to-back run. Three 25 MB corpora streamed from their real
sources — **The Pile** (diverse), **GitHub code**, **Common Crawl**
(multilingual) — across both common OpenAI encodings (throughput in **MB/s**).
quicktok is shown three ways: native C++, the Python `encode_to_numpy()` fast path,
and the plain Python `encode()` (which builds a `list[int]`):
quicktok is shown 2 ways: native C++ and the Python `encode_to_numpy()` fast path:

**cl100k_base** (GPT-3.5 / GPT-4)

| encoder | The Pile | Code | Common Crawl |
|---|---:|---:|---:|
| **quicktok (native)** | **92.8** | **114.9** | **55.6** |
| **quicktok (Python, numpy)** | **92.5** | **109.5** | **54.9** |
| quicktok (Python) | 64.3 | 75.9 | 41.6 |
| **quicktok (Python)** | **92.5** | **109.5** | **54.9** |
| bpe-openai | 29.8 | 34.1 | 24.0 |
| tiktoken-rs | 13.6 | 12.9 | 11.9 |
| tiktoken (Python) | 12.6 | 11.8 | 10.9 |
Expand All @@ -142,20 +140,12 @@ and the plain Python `encode()` (which builds a `list[int]`):
| encoder | The Pile | Code | Common Crawl |
|---|---:|---:|---:|
| **quicktok (native)** | **73.4** | **91.7** | **39.0** |
| **quicktok (Python, numpy)** | **72.0** | **93.7** | **39.0** |
| quicktok (Python) | 57.1 | 65.4 | 33.5 |
| **quicktok (Python)** | **72.0** | **93.7** | **39.0** |
| bpe-openai | 27.4 | 32.4 | 22.5 |
| tiktoken-rs | 19.9 | 18.9 | 14.8 |
| tiktoken (Python) | 17.3 | 16.6 | 13.4 |
| TokenDagger | 8.9 | 9.9 | 7.9 |

`encode_to_numpy()` returns a `uint32` array directly, skipping the per-token
Python-list marshalling — so from Python it runs at **near-native speed** (~3× over
bpe-openai, ~7× over tiktoken). Absolute MB/s is machine- and thermal-dependent
(~15% swing on M1); the same-run ratios are the stable signal. (rs-bpe is omitted
from this run — no Python 3.14 wheel; it's a binding over the same `bpe` crate as
the bpe-openai row.)

**Reproduce these tables:** `make bench-compare` — see [bench/README.md](https://github.com/dmatth1/quicktok/blob/main/bench/README.md).

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