Tools / AI Token Counter

AI Token Counter

See how many tokens a prompt, document, or chat uses before you send it. GPT counts are exact. Claude and Gemini counts are marked as estimates, and you can check whether the text fits each model's context window.

Runs in your browser Exact GPT counts Context window check
Input

Paste your prompt or text

Tokens0
Characters0
Words0
Lines0
Context window

Will this fit the context window?

Rows marked Exact use the GPT tokenizer you selected. Rows marked Estimate are close, but not guaranteed.

Model Tokens Context window Used
Visualizer

How this text splits into tokens

Each shaded block is one token. Hover a block to see its token ID.

First 600 tokens
Paste text above to see each token.
About this tool

Free AI token counter for GPT, Claude, and Gemini prompts

TechMamba AI Token Counter helps prompt engineers, developers, product teams, and content teams count the tokens in a prompt, document, chat transcript, or code snippet before sending it to a language model. GPT counts use the same tokenizer OpenAI publishes, so they match a plain text count. Choose the current tokenizer for GPT-4o, GPT-4.1, and o-series models, or the older one for GPT-4 and GPT-3.5 Turbo.

Claude and Gemini counts are labelled as estimates. Anthropic and Google do not publish a tokenizer that can run in the browser, so those numbers follow each provider's characters-per-token guidance and should be treated as a guide rather than a billing figure.

Use the context window table to check whether a long document, a RAG chunk, a support transcript, or a system prompt will fit GPT, Claude, and Gemini models before you build the request. The visualiser shows where the tokenizer splits your text, which makes it easy to see why code, emoji, accented words, and non-Latin scripts cost more than plain English.

Counting runs entirely in your browser, so prompts, customer data, and unreleased copy are never uploaded. When you are ready to budget a request, open the AI Cost Calculator with this token count already filled in.

AI Token Counter FAQ

What is a token in an AI model?

A token is a chunk of text that a language model reads and writes. It can be a whole word, part of a word, a number, punctuation, or whitespace. Providers bill and limit requests by tokens, not characters.

Who should use an AI token counter?

Prompt engineers, developers, product teams, and content teams building on the OpenAI, Anthropic, or Google APIs. Counting tokens first tells you whether a prompt fits the model, what a request is likely to cost, and how much room is left for the reply.

How many tokens is one word?

For ordinary English prose, one token is roughly four characters, or about three quarters of a word. Common words are usually a single token, while rare words, long names, and words with accents are split into several pieces. Counting the real text is always more reliable than multiplying an average.

Are the OpenAI token counts exact?

Yes. For the encoding you select, the counter uses the same tokenizer OpenAI publishes, so a plain text count matches. A real chat request can add a few extra tokens for message formatting.

Why are Claude and Gemini counts marked as estimated?

Anthropic and Google do not offer a tokenizer that can run in the browser. Those counts use each provider's published characters-per-token guidance, so they are estimates. Use the provider's own token counter when the number has to be exact.

Which encoding should I choose?

Choose o200k_base for current OpenAI models such as GPT-4o, GPT-4.1, and the o-series. Choose cl100k_base for older models such as GPT-4 and GPT-3.5 Turbo.

What is a context window?

The context window is the maximum number of tokens a model can handle in one request, counting your prompt and its reply together. If the total goes over the limit, the request fails or earlier parts of the conversation are dropped, so leave headroom for the answer.

Why does a real request use more tokens than this count?

A chat request also carries a system prompt, role labels for each message, earlier turns of the conversation, any tool definitions, and the model's reply. This counter measures the text you paste, so treat it as the floor rather than the final total.

Do code, emoji, and other languages use more tokens?

Yes. Source code, JSON, emoji, and languages that do not use the Latin alphabet usually need more tokens per character than plain English, because the tokenizer has fewer ready-made pieces for them. The visualiser shows exactly where your text is split.

How do I reduce the number of tokens in a prompt?

Remove repeated instructions and boilerplate, cut long examples down to one or two, summarise background material instead of pasting it whole, and send only the fields the model actually needs. Paste each version here to see what you saved.

How do I work out what these tokens will cost?

Use the cost button in this tool to open the TechMamba AI Cost Calculator with the token count already filled in. Add the model and the expected reply length there to see a price for the request.

Is my text uploaded?

No. Counting happens in your browser. TechMamba only sends the tokenizer data file to your device. The text you paste is never uploaded.