AI Token Usage Estimator
Accurately estimate Token consumption for AI API calls, supporting GPT-4o, Claude, Gemini and other mainstream models to control costs
Estimator Interface
Interactive estimator will be available soon
Features
- ✓ Supports OpenAI tiktoken, Claude, Gemini, Llama and other mainstream tokenizers
- ✓ Accurately count Tokens for Chinese, English, code, Markdown and more
- ✓ Estimate cumulative Token consumption across conversation turns and context windows
- ✓ Auto-calculate costs based on model pricing with multi-model comparison
- ✓ Batch estimation supports CSV import for large-scale text analysis
How to Use
- Select target AI model (determines tokenization algorithm)
- Input text or upload files (supports TXT, Markdown, code)
- Set conversation turns and system prompt length
- View Token estimation results and cost forecast
FAQ
Why do different models calculate Tokens differently?
Different models use different tokenizers. OpenAI uses tiktoken, Claude uses its own. The same text may vary by 20% across models.
Is Chinese text Token calculation accurate?
Yes. The tool uses official tokenizers from each vendor. Chinese typically uses 1-2 Tokens per character, more than English.
What is a context window?
The context window is the maximum Tokens a model can process in one call. GPT-4o has 128K, Claude 3.5 has 200K. Exceeding it causes truncation.
How can I reduce Token consumption?
Simplify Prompts, use shorter system prompts, compress conversation history, choose models with larger context windows, or use caching.
Do estimates match actual API calls?
Tokenization results match official counts 100%. But actual output Tokens vary due to model randomness; the tool provides confidence intervals.