AI Token Tools
AI Token Counter — ChatGPT, Claude, Gemini & More (Free)
Count tokens for every major AI model at once. Paste your text and compare ChatGPT/GPT-4o, Claude, Gemini, DeepSeek and Llama side by side, with live character and word counts too.
- Models compared
- GPT · Claude · Gemini · DeepSeek · Llama
- GPT accuracy
- Exact (tiktoken)
- Privacy
- Runs in your browser
- Rule of thumb
- 1 token ≈ 4 chars ≈ ¾ word
About this tool
Large language models read text as tokens — a token is about ¾ of an English word, or roughly 4 characters. Models charge per token and impose context-window limits in tokens, so a token count tells you whether a prompt will fit and what it may cost.
This counter compares several models in one view. OpenAI (GPT) figures are exact, using the tiktoken BPE encoding; Claude, Gemini, DeepSeek and Llama are close estimates because their tokenizers are not published for the browser. Everything runs locally — your text never leaves your device.
Different models tokenize the same text slightly differently, which is why the counts in the table vary. For budgeting and context-window planning, compare the model you actually use.
What is a token?
A token is a chunk of text the model processes as one unit — often a whole common word, sometimes a piece of a longer or rarer word, and separately for spaces and punctuation. As a rough guide, English runs about 4 characters per token; CJK languages and source code are denser and use more tokens.
Tokens vs words vs characters
Words and characters are easy for humans to count, but models bill and limit by tokens. 1,000 English words is roughly 1,300 tokens, and 1,000 tokens is about 750 words. The exact figure depends on vocabulary, language and formatting — paste your real text for a precise count.
Why count tokens before calling an API
Counting first lets you stay inside the context window (avoiding truncated answers), forecast cost accurately, and trim oversized prompts. It is the quickest way to control both quality and spend when building with LLMs.
How to use
- Paste your text — Drop any prompt, article or code into the box.
- Pick a model — Choose the model for the headline count, or read the table to compare all of them.
- Use the numbers — Stay within the context window and estimate cost before you call the API.
- Copy or clear — Copy the text elsewhere, or clear and try a new prompt.
Frequently asked questions
What is a token in AI?
A token is a chunk of text — often part of a word. In English, 1 token ≈ 4 characters ≈ ¾ of a word; CJK and code are denser.
Which models give an exact count?
OpenAI/GPT models use the exact tiktoken encoding. Claude, Gemini, DeepSeek and Llama are close estimates because their tokenizers are not public for the browser.
How many tokens is 1,000 words?
Roughly 1,300 tokens in English. Paste your text above for the precise number for each model.
Is this AI token counter free?
Yes — completely free, no sign-up and no install. It runs in your browser.
Does it work offline and privately?
Counting runs locally and your text is never uploaded. The exact GPT encoder loads once from a CDN; if it cannot, a labelled estimate is used.
Why do different models show different counts?
Each model uses its own tokenizer, so the same text splits into a different number of tokens. Compare the model you actually use.