AI Token Counter & Visualizer
Understand how AI models tokenize text and estimate costs. Type or paste text to see an interactive visualization of tokens, learn how different content affects tokenization, and calculate potential API costs.
394Characters
64Words
99Tokens (est.)
Token Visualization
Type or paste your text here to see how it would be tokenized by AI models.
Each token costs a small amount (different for each model). Understanding tokenization helps you optimize your prompts for both cost and effectiveness.
Try typing some text with numbers (123), emojis 😊, or non-English languages like español or ä½ å¥½ to see how tokenization works differently for various content types.
Cost Estimator
Select AI Model:
Balanced between cost and capability, good for complex reasoning
Input Cost (99 tokens):
$0.000990
Output Cost (est. 149 tokens):
$0.004470
Total Estimated Cost:
$0.005460
Token Breakdown Analysis
What are Tokens?
Tokens are the basic units of text that AI models process. They can be words, parts of words, punctuation marks, or other symbols. Understanding tokenization helps you:
- Optimize costs: You pay per token for both input and output
- Work within model limits: Models have token limits (like 4,096 or 8,192 tokens)
- Improve results: Good prompt design considers token usage
Token Examples:
"Hello world"
Helloworld
2 tokens
"tokenization"
tokenization
2 tokens
"1234567890"
1234567890
2 tokens
"ä½ å¥½ï¼Œä¸–ç•Œ"
ä½ å¥½ï¼Œä¸–ç•Œ
5 tokens
Note: This tool provides an approximate estimation of tokenization and costs. Actual tokenization in AI models like GPT uses a specific encoding (usually tiktoken or BPE) that may differ slightly from these estimates. For exact tokenization, use the model provider's official tokenization libraries.