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GigAI Tools

LLM Token Counter & Cost Estimator

Paste a prompt and instantly see the token count and price across GPT-4o, GPT-4.1, Claude and Gemini, so you know what an API call will cost before you make it.

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What is the llm token counter?

Every LLM API bills by the token, but 'how many tokens is this prompt? ' is surprisingly hard to answer, tokenization isn't words or characters. The GigAI Token Counter runs the real OpenAI BPE tokenizer (o200k for GPT-4o/4. 1/o-series, cl100k for GPT-3.

Every LLM API bills by the token, but 'how many tokens is this prompt?' is surprisingly hard to answer, tokenization isn't words or characters. The GigAI Token Counter runs the real OpenAI BPE tokenizer (o200k for GPT-4o/4.1/o-series, cl100k for GPT-3.5) directly in your browser for an exact count, and provides a clearly-labelled estimate for Claude and Gemini, whose tokenizers aren't publicly available. Paste any prompt, system message or document and a live table shows the token count and input cost for every model side by side, plus the percentage of each model's context window you're using. Add an expected reply length to see the full per-call cost including output tokens. Everything runs locally (your prompts never leave your device) and the OpenAI tokenizer is loaded only when you need it, so the page stays fast.

Difficulty:
Easy
Typical time:
~15s
Processing:
100% browser processing

Last updated

How to use the llm token counter

  1. 1

    Paste your prompt

    Drop in a prompt, system message or document. The OpenAI tokenizer loads on first use and counts run live as you type.

  2. 2

    Read the comparison table

    See the token count and input cost for every model. OpenAI counts are exact. Claude and Gemini are marked as estimates.

  3. 3

    Add the reply length (optional)

    Enter roughly how many tokens the model will reply with to include output-token pricing and get the full per-call cost.

  4. 4

    Choose the right model

    Compare costs and context usage, then pick the cheapest model that fits your prompt and quality needs.

What LLM Token Counter includes

  • Exact OpenAI token counts

    Runs the real BPE tokenizer (o200k / cl100k) in your browser, not a chars÷4 guess, so your GPT-4o and GPT-4.1 counts are accurate.

  • Every model, side by side

    One paste shows token count and input cost for GPT-4o, GPT-4.1, o4-mini, Claude and Gemini at once, so you can pick the cheapest fit.

  • Full per-call cost

    Add an expected reply length and it factors in output-token pricing to estimate the total cost of a request, not just the prompt.

  • Context-window usage

    See what percentage of each model's context window your prompt takes, so you know how much room is left for the conversation.

Why use our llm token counter

Budget before you build

Estimate what a feature will cost per request across models before you write the integration, and spot when a mini model is plenty.

Right-size your prompts

See exactly how many tokens a system prompt or document adds, and trim what you don't need to cut cost and stay within the context window.

Private by default

Your prompts often contain proprietary instructions or data. Here they're tokenized locally in your browser and never uploaded.

Frequently asked questions

Your privacy is built in

Everything runs 100% in your browser. Your files are never uploaded to a server, never stored, and never seen by anyone but you.

  • Runs in your browser
  • No uploads
  • Nothing stored

Ready to try the llm token counter?

Free, private and instant. LLM Token Counter runs right in your browser.