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What is tokencounter.org?
Token Counter is a tool designed to help users determine the token count of text inputs for various OpenAI models, such as GPT-4 and GPT-3.5. It accurately converts user-provided text into tokens and estimates corresponding costs.
The tool offers an efficient solution for those who frequently utilize AI models, providing accurate token counts and calculating the financial implications of using these models. Token Counter utilizes algorithmic computation to convert text to tokens because it's not direct one-to-one conversion.
Features
- Token Calculation: Converts user text input into the corresponding token count for different OpenAI models.
- Cost Estimation: Calculates the cost associated with the token count based on the selected AI model.
- Multiple Model Support: Provides token counts for various models, including GPT-4, GPT-3.5, Davinci, and Babbage.
- Accurate Conversion: Uses algorithmic computation to convert text into tokens, ensuring precise results.
Use Cases
- Estimating costs for using AI models.
- Calculating token counts for different OpenAI models.
- Converting text into tokens for budget planning.
- Managing expenses related to AI model usage.
FAQs
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Why do different models have different token counts?
Different models have varying token counts due to differences in tokenization strategies. Each model, like GPT-3, GPT-3.5, and GPT-4, uses a unique tokenizer, impacting how text is broken down into tokens. -
How much does token count?
The cost of token usage varies by model. For example, GPT-4 (turbo) costs $10.00 per 1 million input tokens and $30.00 per 1 million output tokens, while GPT-3.5 (turbo-0125) costs $0.50 per 1 million input tokens and $1.50 per 1 million output tokens.
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