Tokens

LLM token calculator — count tokens in any text

Paste any text, count tokens, see the cost on each OpenAI model, and find the Plugsky model tier that fits your context window.

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Your text

What are tokens?

LLMs break text into tokens — sub-word units of 1-4 characters. English averages ~0.75 words per token, so a 750-word document is roughly 1,000 tokens. Code, languages other than English, and numbers have different ratios.

Plugsky models have context windows from 16K (plugsky-micro) to 131K (plugsky-frontier, plugsky-max, plugsky-ultra). Use this calculator to see if your text fits.

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Related

OpenAI cost calculator

Model your monthly bill.

Embeddings API

Token-aware embeddings for retrieval.

RAG API

Chunking + retrieval for long documents.

(function(){ function countTokens(s) { if (!s) return 0; // Approximation: ~4 chars per token, with word boundary adjustment // Better than just chars/4 for mixed code/English var words = s.split(/\s+/).filter(Boolean).length; var chars = s.length; return Math.max(Math.ceil(chars / 4), Math.ceil(words * 1.3)); } function fmt(n) { return n.toLocaleString(); } function fmtCents(c) { return '$' + (c/100).toLocaleString(undefined, {minimumFractionDigits: 4, maximumFractionDigits: 4}); } var WINDOWS = { 'gpt-4o': { max: 128000, label: 'gpt-4o' }, 'gpt-4o-mini': { max: 128000, label: 'gpt-4o-mini' }, 'claude-sonnet': { max: 200000, label: 'Claude Sonnet' }, 'plugsky-frontier': { max: 131072, label: 'plugsky-frontier' }, 'plugsky-pro': { max: 65536, label: 'plugsky-pro' }, 'plugsky-micro': { max: 16384, label: 'plugsky-micro' } }; document.getElementById('text').oninput = function() { document.getElementById('chars').value = document.getElementById('text').value.length; }; document.getElementById('text').oninput(); document.getElementById('calcBtn').onclick = function() { var s = document.getElementById('text').value; var model = document.getElementById('model').value; var w = WINDOWS[model]; var tokens = countTokens(s); var pct = Math.round((tokens / w.max) * 100); var fills = Math.min(100, pct); var out = document.getElementById('result'); out.style.display = 'block'; out.innerHTML = '
Estimated tokens
\n' + fmt(tokens) + '\n\n
Model context window
\n' + w.label + ' — ' + fmt(w.max) + ' tokens' + '\n\n
Usage
\n
' + pct + '%
' + (pct >= 100 ? '\n
⚠ Text exceeds model context window. Use a longer-context model or split into chunks.
' : ''); }; document.getElementById('calcBtn').click(); })();