Q.What is a token in the context of LLMs?
A.A token is a unit of text that an LLM processes. It can be a word, part of a word, or even a single character, depending on the model's tokenization method.
T
TokenCounter
★3.4
💬400
💲Free
TokenCounter is a practical tool that allows users to count tokens and estimate the cost of using AI models. It supports real-time counting and multiple languages, making it ideal for managing AI API usage efficiently.
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Platform
web
AI API cost calculatorAI character counterAI cost estimatorAI input optimizerAI model cost calculatorAI text analysisAI text metrics
What is TokenCounter?
TokenCounter is a tool designed to accurately count tokens and estimate costs for various AI models. It helps users optimize prompts, manage budgets, and maximize efficiency in AI interactions. It is suitable for developers, researchers, and AI enthusiasts.
Core Technologies
- Natural Language Processing
- Tokenization Algorithms
- Cost Estimation Models
Key Capabilities
- Accurate token counting for various AI models
- Cost estimation for AI model inputs
- Real-time token counting as you type
- Support for multiple languages
Use Cases
- Optimize AI prompt design to save on costs
- Track and control expenses for AI API usage
- Ensure AI model input stays within token limits
- Analyze text for efficient AI processing
- Estimate costs before sending large AI requests
Core Benefits
- Helps optimize prompts to reduce costs
- Assists in managing AI API budgets
- Ensures inputs do not exceed model limits
- Provides accurate token counts for OpenAI models
- Supports real-time token counting
- Offers cost estimation for different AI models
Key Features
- Accurate token counting for various AI models
- Cost estimation for AI model inputs
- Real-time token counting as you type
- Support for multiple languages
How to Use
- 1Select an AI model from the dropdown menu
- 2Enter your text in the input area
- 3View the token count and estimated cost
Frequently Asked Questions
Q.Why is token counting important for LLM applications?
A.Token counting is crucial for managing API costs, estimating processing time, and ensuring inputs don't exceed model limits. Many LLM providers charge based on token usage, and models have maximum token limits for inputs and outputs.
Q.How accurate is this token counting tool?
A.For OpenAI models, we use their exact recommended tiktoken library, so the accuracy should be incredibly high. For Anthropic models, we are currently using an older method as Anthropic has not yet provided updated tokenization information for their latest models.
Q.Does the tool support multiple languages?
A.Yes, our tool supports multiple languages. While our interface is entirely in English, the tokenization process works the same way for all languages.
Q.Which LLM models does this token counter support?
A.Our tool primarily supports token counting for models by OpenAI and Anthropic. We focus on these as they are currently the most widely used in the industry.
Pros & Cons (Reserved)
✓ Pros
- Accurate token counting using the recommended tiktoken library for OpenAI models
- Supports multiple languages
- Real-time token counting
- Provides cost estimation for different AI models
✗ Cons
- Tokenization for Anthropic models uses an older method
- No API for direct integration
- No visualization of the tokenization process
- Primarily works with plain text input
Alternatives
No alternatives found.