Tiktokenizer
Tokenization visualization tool for GPT, Llama, Qwen and other large language models
Input Text
Tokenization Results
Example Texts
Click on an example below to see tokenization results:
Need additional models? Contact us at:huzhengnan@foxmail.com
About Tokenization
What is Tokenization?
Tokenization is the process of breaking text into smaller units (called tokens). Large language models use these tokens to understand and generate text. Different models use different tokenization algorithms, which affects their performance and efficiency.
Why is Tokenization Important?
Understanding how models break text into tokens is crucial for optimizing prompts, reducing token usage, and lowering API costs. By visualizing the tokenization process, developers can better understand how models work and create more effective applications.
Supported Models
OpenAI Models
- GPT-4
- GPT-4o
- GPT-3.5-Turbo
- text-davinci-003
Meta Models
- Llama 2
- Llama 3
- CodeLlama
Other Models
- Qwen
- Mistral
- Claude
Ready to optimize your token usage?
Try different models and text inputs to see how tokenization varies.
Built by 1000ai | Contact Us