Beginner

Getting Started with Tiktokenizer

Access Tiktokenizer in your browser, explore the interface, select tokenizers, and understand the color-coded token visualization. No account or installation needed.

Accessing Tiktokenizer

Tiktokenizer is a completely free web-based tool. Simply open your browser and navigate to:

URL
https://tiktokenizer.vercel.app

No account creation, no sign-up, no installation required. The tool runs entirely in your browser.

Interface Overview

When you open Tiktokenizer, you will see a clean interface with these key elements:

  1. Tokenizer Selector

    A dropdown at the top lets you choose which tokenizer to use. Different models use different tokenizers, so select the one that matches the model you are working with.

  2. Text Input Area

    A large text area where you paste or type the text you want to tokenize. The tokenization updates in real-time as you type.

  3. Token Visualization

    Below the input area, your text is displayed with each token highlighted in a different alternating color. This lets you see exactly where token boundaries fall.

  4. Token Count

    A counter shows the total number of tokens in your text, updating live as you type or edit.

Selecting a Tokenizer

Choosing the right tokenizer is important because the same text produces different token counts with different tokenizers. Here are the main options:

Tokenizer Used By Vocab Size
o200k_base GPT-4o, GPT-4o mini ~200K tokens
cl100k_base GPT-4, GPT-3.5 Turbo, text-embedding-3 ~100K tokens
p50k_base GPT-3 (davinci, curie) ~50K tokens
r50k_base GPT-3 (older Codex models) ~50K tokens
💡
Which to choose? For most current use cases, select o200k_base (for GPT-4o) or cl100k_base (for GPT-4 and GPT-3.5). The o200k_base tokenizer is newer and generally more efficient, especially for code and non-English text.

Your First Tokenization

Let's try a simple exercise:

  1. Open Tiktokenizer

    Go to tiktokenizer.vercel.app in your browser.

  2. Select o200k_base

    Choose the o200k_base tokenizer from the dropdown (this is used by GPT-4o).

  3. Paste This Text

    Type or paste: Hello, how are you doing today?

  4. Observe the Results

    You should see the text split into approximately 8 tokens, each highlighted in alternating colors. Notice how spaces are sometimes attached to the beginning of words.

Understanding the Color-Coded Display

Tiktokenizer uses alternating background colors to show where one token ends and the next begins:

  • Each contiguous block of the same color represents one token.
  • Colors alternate between tokens so you can easily see the boundaries.
  • A single character in its own color block means it is its own token (common for punctuation).
  • A long word in one color block means the entire word is a single token.
  • A word split across two color blocks means it was split into multiple tokens.
Visual Example
# The word "unbelievable" might appear as:
[un][believ][able]  ← 3 tokens, 3 different colors

# While "the" appears as:
[the]  ← 1 token, 1 color block

Comparing Tokenizers Side by Side

One of the most valuable exercises is comparing how different tokenizers handle the same text:

  1. Open Tiktokenizer in two browser tabs.
  2. Paste the same text in both.
  3. Select o200k_base in one tab and cl100k_base in the other.
  4. Compare the token counts and how the text is split differently.

You will often find that o200k_base produces fewer tokens for the same text, especially for code and non-English content. This is because it has a larger vocabulary (200K vs 100K tokens), allowing it to represent more common patterns as single tokens.

💡 Try It: Compare Tokenizers

Paste the following code snippet into Tiktokenizer and compare it between o200k_base and cl100k_base:

The o200k_base tokenizer typically produces fewer tokens for code because it was trained with a larger vocabulary that includes more common code patterns.
No account needed: Tiktokenizer runs entirely in your browser using WebAssembly. Your text never leaves your computer, making it safe to use with sensitive or proprietary content.

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