TokenAtlas

TokenAtlas

A browser explorer that compares how many tokens the same text costs across 52 languages and several LLM tokenizers, built on the FLORES-200 benchmark. For people who budget multilingual LLM use.

Made by prajwalpujari16 on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face.

About

What it is: TokenAtlas is a browser explorer for the token inflation tax, the extra tokens some languages need to say the same thing. It compares tokenization efficiency across 52 languages and several LLM tokenizers, using the FLORES-200 text set from Meta. Everything runs on the client side, so there is no cold start.

Who it suits: It suits people who build or budget products that serve several languages and want to know what each language costs in tokens.

Title: Who might use this explorer
Industry | Who uses it | How they use it | Example
Product teams | Product managers | Estimate the cost of supporting more languages | Compare one language with another
ML engineering | Engineers | Pick a tokenizer that treats a language fairly | Compare tokenizers on the same language
Research | Researchers | Study tokenization across languages | Read the benchmark data file

If you only work in one language, you can skip it, since its value is the comparison between languages.

Where to use it: You can use it online or open its files on your own computer.

• Web browser: the Space's page on Hugging Face, with nothing to install
• Windows, macOS or Linux: the downloaded files, opened in a browser
• Python: a PyPI package of the same name, named in the readme

Title: What the explorer is good for
Use case | Who | What they get back
Compare languages | Product teams | A view of how many tokens each language needs
Compare tokenizers | Engineers | A view of how six model families, among them GPT-4o and Gemma, split the same text into tokens
Use the raw numbers | Researchers | The benchmark data file kept in the repository

How to set it up: The hosted page needs nothing. To get the files you need Python and pip.

• Python, with pip
• Any web browser

1. Install the huggingface_hub package.
2. Download the Space's files into a folder.
3. Move into that folder.
4. Open index.html in a web browser.

pip install -U huggingface_hub
hf download prajwalpujari16/token-atlas --repo-type space --local-dir token-atlas
cd token-atlas

The readme also names a PyPI package, which installs with this command.

pip install token-atlas

How to use it: Open the Space online, or open index.html from your downloaded folder. Then choose a language and compare how the tokenizers treat it.

Title: The parts you will meet
Tool | What it does
index.html | The interactive explorer that runs in your browser
benchmark_data.json | The benchmark numbers the page reads
style.css | The styles that shape how the page looks

Example: You pick one language and compare how many tokens the same passage needs under several tokenizers. Then you pick another language and see which one pays more tokens for the same meaning.

For newcomers and experts: If you are new to this, remember that models bill and limit by tokens, and some languages need more tokens per sentence than English. Start by comparing two languages you know.

If you know the field, the benchmark measures token inflation, also called fertility, over 52 languages with FLORES-200 text. It names Llama 3.1 8B, Qwen2.5 0.5B Instruct and Gemma 2 9B among its models, and it keeps a dataset of its own.

Open the explorer
Pick a language
The page reads the benchmark data
You compare tokenizers

Good to know: The explorer reads a bundled data file, and the comparison happens in your browser.

• Coverage: 52 languages and several named tokenizers
• Static page: plain HTML, CSS and a JSON data file, with no server code
• License: apache-2
• Cost to run: none named
• Data it reaches: nothing beyond its own files is named in the notes
• Not for: tokenizing your own private text with a server, since the page works from its bundled data

On Hugging Face, 13 November 2026

• Likes: 1
• Built with: static
• License: apache-2.0

Links

• Space: https://huggingface.co/spaces/prajwalpujari16/token-atlas
• Files: https://huggingface.co/spaces/prajwalpujari16/token-atlas/tree/main

Try it

Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself.