AI Token Counter
Estimate token count and API costs for GPT-4, GPT-3.5, and Claude. Accurately count tokens for English and CJK text. Essential for LLM prompt engineering and cost management.
Parameters
Estimates tokens based on model-specific tokenization.
Results
Approximate token count based on character analysis
Other results (5)
Total characters (0 CJK, 0 non-CJK)
$10.00 per 1M input tokens
$0.50 per 1M input tokens
$3.00 per 1M input tokens
Why Choose AI Token Counter
The AI Token Counter estimates the number of tokens in your text for use with large language models like GPT-4, GPT-3.5 Turbo, and Claude Sonnet. It distinguishes between English text (~4 characters per token) and CJK characters (~1.5 characters per token) to provide a more accurate estimate, and calculates the approximate API cost for each model.
- ✓Accurate token estimation with CJK character detection
- ✓Instant cost calculation for GPT-4, GPT-3.5, and Claude Sonnet
- ✓Character and word count breakdown
- ✓Supports mixed-language text analysis
How to Use
- 1Paste your prompt, document, or conversation text into the input area.
- 2The tool automatically detects CJK characters and applies different tokenization ratios.
- 3Review the estimated token count based on approximately 4 characters per token for English and 1.5 for CJK.
- 4Check the estimated API cost for each supported model.
- 5Use the results to budget your API usage or optimize prompt length.
Frequently Asked Questions (FAQ)
How accurate is the token estimation?
The estimation uses approximately 4 characters per token for English text and 1.5 characters per token for CJK text. Actual token counts from model-specific tokenizers (like tiktoken for GPT) may vary by 5-15%, but this provides a reliable approximation for budgeting purposes.
Why are CJK characters counted differently?
Chinese, Japanese, and Korean characters typically require more tokens per character in most LLM tokenizers because they are encoded as multi-byte UTF-8 sequences and are less common in the training data used to build token vocabularies.
Are these prices up to date?
The prices used are GPT-4 at $10/1M input tokens, GPT-3.5 Turbo at $0.50/1M input tokens, and Claude Sonnet at $3/1M input tokens. Always check the official OpenAI and Anthropic pricing pages for the most current rates.
Does this count output tokens too?
No. This tool only estimates input (prompt) tokens. Output tokens are typically more expensive and depend on the length of the model response, which cannot be predicted in advance.
Can I use this for any language model?
While the tool shows costs for specific models, the token estimate itself is a reasonable approximation for most transformer-based language models, including Llama, Gemini, and Mistral, since they use similar tokenization strategies.
Authoritative References & Sources
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