LLM Token Counter
Paste your text to estimate token count for GPT-4o, Claude, and Gemini. Uses the 4-chars-per-token heuristic — close to tiktoken for English text.
Estimation: 4 characters ≈ 1 token
Characters
0
Words
0
Lines
0
Est. Tokens
0
Estimated Input Cost
This Text (1x)
$0.000000
1,000 Requests
$0.00
100,000 Requests
$0.00
Input token cost only. Output tokens billed separately at a different rate.
Context Window Usage
* Llama prices via cloud inference (Together AI, Groq)
Try a Sample
Frequently Asked Questions
How accurate is the token estimate?▼
This tool uses a 4 characters ≈ 1 token heuristic, which closely matches tiktoken for typical English text. Code, JSON, and non-English text may vary. For production accuracy use the official tokenizer libraries (tiktoken for OpenAI, claude-tokenizer for Anthropic).
Why do different models have different token counts for the same text?▼
Each model uses its own tokenizer vocabulary. GPT models use cl100k_base, Claude uses its own BPE tokenizer, Gemini uses SentencePiece. Token counts can differ by 10–20% for the same text.
What is a token exactly?▼
A token is a chunk of text — roughly a word or sub-word. 'hamburger' might be 2 tokens: 'ham' and 'burger'. Numbers, punctuation, and whitespace are also tokens. 100 tokens ≈ 75 words in English.
How is the API cost calculated?▼
Cost = (token count ÷ 1,000,000) × price per million tokens. Each model has separate input and output rates. This tool shows the input cost for the pasted text.
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