Tokenizer
Your text
Text in tokens
Model
Tokens: 0Characters: 0
How to use the tokenizer
1
Select a model and version
The tokenization method may vary depending on the model version. Our tool automatically applies the same algorithm as your selected model to ensure compatibility and correct text processing.
2
Enter text
Simply paste the desired text into the field. The tool will instantly show the number of tokens and characters in real time, and will also visualize the token breakdown for clarity.
Tool capabilities
Token visualization
The tool automatically generates text with a clear token visualization, which is convenient for evaluating text length and optimizing it within model limitations.
Variety of models
A wide selection of models and their versions is available for tokenization. We automatically select the optimal text processing method according to your choice.
Instant display
We use optimized tokenization algorithms, which guarantees minimal waiting time and high processing accuracy even with large volumes of data.
Usage examples
An insanely popular technique for implementing fluid simulations that produces impressive results is Smoothed Particle Hydrodynamics. However, this technique solves an entirely different problem! It creates realistic, highly detailed, and beautiful simulations, but I don't need that. Remember when I mentioned "medium scale" above? Water particles with a diameter of 1 meter won't work for me — they would look like water-filled balloons, but reducing particle sizes affects performance too much. I don't need a highly detailed simulation, but a fast and convincing one! fluid simulations that produces impressive results is Smoothed Particle Hydrodynamics. However, this technique solves an entirely different problem! It creates realistic, highly detailed, and beautiful simulations, but I don't need that.
Go
An insanely popular technique for implementing fluid simulations that produces impressive results is Smoothed Particle Hydrodynamics. However, this technique solves an entirely different problem! It creates realistic, highly detailed, and beautiful simulations, but I don't need that. Remember when I mentioned "medium scale" above? Water particles with a diameter of 1 meter won't work for me — they would look like water-filled balloons, but reducing particle sizes affects performance too much. I don't need a highly detailed simulation, but a fast and convincing one! fluid simulations that produces impressive results is Smoothed Particle Hydrodynamics. However, this technique solves an entirely different problem! It creates realistic, highly detailed, and beautiful simulations, but I don't need that.
gpt-4o
144 tokens
An insanely popular technique for implementing fluid simulations that produces impressive results is Smoothed Particle Hydrodynamics. However, this technique solves an entirely different problem! It creates realistic, highly detailed, and beautiful simulations, but I don't need that. Remember when I mentioned "medium scale" above? Water particles with a diameter of 1 meter won't work for me — they would look like water-filled balloons, but reducing particle sizes affects performance too much. I don't need a highly detailed simulation, but a fast and convincing one! fluid simulations that produces impressive results is Smoothed Particle Hydrodynamics. However, this technique solves an entirely different problem! It creates realistic, highly detailed, and beautiful simulations, but I don't need that.
Go
An insanely popular technique for implementing fluid simulations that produces impressive results is Smoothed Particle Hydrodynamics. However, this technique solves an entirely different problem! It creates realistic, highly detailed, and beautiful simulations, but I don't need that. Remember when I mentioned "medium scale" above? Water particles with a diameter of 1 meter won't work for me — they would look like water-filled balloons, but reducing particle sizes affects performance too much. I don't need a highly detailed simulation, but a fast and convincing one! fluid simulations that produces impressive results is Smoothed Particle Hydrodynamics. However, this technique solves an entirely different problem! It creates realistic, highly detailed, and beautiful simulations, but I don't need that.
o3-mini
144 tokens
An insanely popular technique for implementing fluid simulations that produces impressive results is Smoothed Particle Hydrodynamics. However, this technique solves an entirely different problem! It creates realistic, highly detailed, and beautiful simulations, but I don't need that. Remember when I mentioned "medium scale" above? Water particles with a diameter of 1 meter won't work for me — they would look like water-filled balloons, but reducing particle sizes affects performance too much. I don't need a highly detailed simulation, but a fast and convincing one! fluid simulations that produces impressive results is Smoothed Particle Hydrodynamics. However, this technique solves an entirely different problem! It creates realistic, highly detailed, and beautiful simulations, but I don't need that.
Go
An insanely popular technique for implementing fluid simulations that produces impressive results is Smoothed Particle Hydrodynamics. However, this technique solves an entirely different problem! It creates realistic, highly detailed, and beautiful simulations, but I don't need that. Remember when I mentioned "medium scale" above? Water particles with a diameter of 1 meter won't work for me — they would look like water-filled balloons, but reducing particle sizes affects performance too much. I don't need a highly detailed simulation, but a fast and convincing one! fluid simulations that produces impressive results is Smoothed Particle Hydrodynamics. However, this technique solves an entirely different problem! It creates realistic, highly detailed, and beautiful simulations, but I don't need that.
text-davinci-003
190.85 tokens
An insanely popular technique for implementing fluid simulations that produces impressive results is Smoothed Particle Hydrodynamics. However, this technique solves an entirely different problem! It creates realistic, highly detailed, and beautiful simulations, but I don't need that. Remember when I mentioned "medium scale" above? Water particles with a diameter of 1 meter won't work for me — they would look like water-filled balloons, but reducing particle sizes affects performance too much. I don't need a highly detailed simulation, but a fast and convincing one! fluid simulations that produces impressive results is Smoothed Particle Hydrodynamics. However, this technique solves an entirely different problem! It creates realistic, highly detailed, and beautiful simulations, but I don't need that.
Go
An insanely popular technique for implementing fluid simulations that produces impressive results is Smoothed Particle Hydrodynamics. However, this technique solves an entirely different problem! It creates realistic, highly detailed, and beautiful simulations, but I don't need that. Remember when I mentioned "medium scale" above? Water particles with a diameter of 1 meter won't work for me — they would look like water-filled balloons, but reducing particle sizes affects performance too much. I don't need a highly detailed simulation, but a fast and convincing one! fluid simulations that produces impressive results is Smoothed Particle Hydrodynamics. However, this technique solves an entirely different problem! It creates realistic, highly detailed, and beautiful simulations, but I don't need that.
gpt-4o
144 tokens
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Do you still have questions?
What are tokens in the context of OpenAI models and how do they work?
These are fragments of text into which the model splits input and output data. They can represent individual words, parts of words, spaces, or punctuation marks.
How does the ratio of words to tokens vary depending on the language?
In English, one word usually equals 1–1.3 tokens, while in Russian, Chinese, and Japanese, this ratio is higher — approximately 1.5–2 tokens per word due to encoding specifics.
Can the tool be used for free?
Yes, the tool is completely free.
Does the count differ for different GPT versions?
Yes, the token count may differ for different GPT versions, this is due to the specifics of how tokenizers work in various models.
Are special characters taken into account during analysis?
The neural network recognizes all types of characters, including punctuation marks, emojis, and special symbols.
How fast is the token counting?
AI processes data without delays, showing up-to-date results right while you type or edit the content.
Can texts in different languages be analyzed?
The service correctly processes content in more than 20 languages; the algorithms account for tokenization specifics of various language systems and alphabets.
How does the tokenizer split text into smaller segments?
The tokenizer splits text into smaller segments (tokens) based on predefined rules and learned patterns.
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