See how AI models break text into tokens in real-time. Tokenization affects context limits, API costs, and how AI "reads" your text. Each token is color-coded and shows its unique ID.
Model
Statistics
0
Total Tokens
Characters:0
Chars per token:0
Key Concepts
• Each token ≈ 4 characters
• Tokens affect API costs
• Context limits measured in tokens
• Different models use different encodings
• Numbers and code use more tokens
Why This Matters
• Costs: You pay per token
• Limits: Context windows measured in tokens
• Speed: More tokens = slower response
• Accuracy: Token boundaries affect understanding
Example Scenarios
Input Text
Type or paste text to see how it's tokenized
Tokenized Output
Each color represents a unique token. Click to see token ID.
