🤖 AI & LLM Utility
LLM Tokenizer & Cost Calculator
Calculate token consumption, word-to-token ratios, and inference pricing for GPT-4o, Claude 3.5, Gemini, and LLaMA with zero UI lag.
Model Family:
Tokens
107
~1.41 tokens per word
Characters & Words
546 chars
76 words · 8 lines
Est. API Cost (Input / Output)
$0.0003 / $0.0011
Based on OpenAI list pricing
Context Window
0.1%
128,000 max546 bytes
In artificial intelligence and natural language processing, tokenization is the process of breaking text down into individual units called tokens.
For example, the word "unbelievable" is often split into three subword tokens: ["un", "believ", "able"]. Common punctuation, spaces, and code indentations each consume tokens.
Understanding token counts is essential for:
1. Staying within model context windows (e.g. 128k or 2M tokens)
2. Estimating API inference and completion costs
3. Measuring retrieval augmented generation (RAG) chunk sizes