🧮 Token Calculator
See how AI tokenizes your content
📖 What can this tool do?
AI doesn’t process text by words or characters — it uses tokens, fragments between letters and words. Common phrases stay intact; rare terms get split into smaller pieces. This tool shows you exactly how your text gets tokenized.
See Make AI Speak for You: The Definitive Guide to GEO, Ch. 2.2
❓ FAQ: GEO Impact
Why should I care about token count?
Every AI model has a context-window limit. If your answer block burns too many tokens, it leaves less room for other content.
Does it matter if a term gets split?
Fragmented terms use more tokens and may lose semantic precision. Use the most common natural phrasing for core terminology.
How long should an answer block be?
A practical range is 200-400 Chinese characters (roughly 100-250 English words). See Ch. 5.2.
💡 Why does GEO optimization care about Tokens?
AI doesn’t read by characters — it processes Tokens. This tool uses the GPT-4o (o200k_base) tokenizer.
- Cost & Speed: Fewer tokens = faster inference, lower API cost.
- Semantic Density: AI’s context window is finite. Dense token combinations improve RAG recall.
- CJK Note: Common Chinese characters are typically 1 token, but rare ones may take 2-3.
🔬 Under the hood: Hex codes like
<E6 8B> indicate the character was decomposed into byte-level tokens — this is normal BPE behavior.
Tokenization results will appear here as color-coded blocks…
English ▾
Chinese (Simplified)