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Token Counter

Estimate token counts for LLM models including GPT-4o, Claude 4, Llama 3, and Gemini 2. Analyze text composition with character, word, sentence, and code ratio breakdowns. Context window usage visualization. Runs entirely in your browser — your data never leaves your machine.

tokens llm gpt claude ai context-window estimator

Published June 1, 2026

All interactive tools run entirely in your browser. Your data never leaves your device.

How It Works

Paste or type text, and instantly see estimated token counts for 6 popular LLM models. The tool uses heuristic approximation based on characters-per-token ratios, with adjustments for code content, CJK characters, and emoji.

Features

  • 6 LLM models: GPT-4o, GPT-4, Claude 3.5 Sonnet, Claude 4 Opus, Llama 3, Gemini 2
  • Context window visualization: see how much of each model’s context you’re using
  • Text analysis: characters, words, sentences, lines, paragraphs
  • Composition detection: code ratio, CJK ratio, emoji count
  • Heuristic adjustments: code-heavy text and CJK characters get more accurate estimates
  • Copy all results: one-click copy of all model estimates
  • 5 examples: English text, code, JSON, mixed content, CJK
  • Private: runs entirely in the browser — no data transmitted

Use Cases

  • Estimating prompt length before sending to an LLM API
  • Checking if content fits within a model’s context window
  • Comparing token usage across different models
  • Planning chunking strategies for large documents
  • Budgeting API costs based on token estimates