LLM Token Counter
Count tokens for various AI language models including GPT, Claude, and Llama
Characters
0
Characters (no spaces)
0
Words
0
Avg. Word Length
0.0 chars
Sentences
0
Paragraphs
0
Reading Time
0 mins
Speaking Time
0 mins
Enter at least 30 characters to see text analysis
Full analysis requires enough text to make meaningful calculations
Chars per Token
4.0
Token Count
0
Est. Cost
$0.0000
What are tokens? Tokens are the basic units of text that Large Language Models (LLMs) process. They can be words, parts of words, or even individual characters.
Token Counts by Language:
- English: ~4 characters per token
- Latin-based: ~3.8 chars per token
- Chinese/Japanese: ~1.5 chars per token
- Thai/Arabic: ~3 chars per token
Example Tokenization:
"Hello world" → ["Hello", " world"]
"tokenization" → ["token", "ization"]
Note: These are approximations based on average token sizes. For exact counts, model-specific tokenizers should be used.
LLM Token Counting Tips
- English text averages about 4 characters per token
- Chinese and Japanese text have more tokens per character
- Code and technical content may tokenize differently
- Shorter prompts are often more effective and cost-efficient
- Line breaks, spaces, and formatting count as tokens