Free Online Token Counter — GPT-5.4, Claude 4.6, Gemini 3.5
100% Private & No Signup Required
Count tokens for GPT-5.4, Claude 4.6, Gemini 3.5, and Llama 4 instantly. See context window usage, estimated cost, and trim text to model limits — 100% in your browser.
Initializing Module
Optimizing assets and preparing high-fidelity workspace...
What is Free Online Token Counter — GPT-5.4, Claude 4.6, Gemini 3.5?
When working with Large Language Models, token limits are the most common bottleneck. Exceeding a model's context window causes errors, truncated outputs, or unexpected API costs — yet most developers only discover this problem at runtime.
Counting tokens is deceptively difficult. Tokenization algorithms differ per model: GPT uses Byte-Pair Encoding (BPE), Claude uses its own variant, and Llama uses SentencePiece. Simply counting words or characters gives wildly inaccurate results.
SimpleClickLab's Free Online Token Counter runs real tokenization in your browser using the same algorithms the APIs use. Paste your prompt or text and immediately see the exact token count for your chosen model — with no API calls and no privacy risk.
A color-coded progress bar visualizes how full the model's context window is: green (safe), amber (caution), red (limit exceeded). This makes it trivial to see when a prompt is too long before you pay for a failed API call.
Estimated cost calculation shows you the approximate USD price for processing your text as input tokens on GPT-5.4, helping you budget API usage accurately.
The one-click trim feature intelligently cuts your text at the exact token boundary needed to fit the selected model's limit, preserving as much content as possible. Everything runs offline — your prompts, documents, and API strategies remain completely private.
Key Features
- Real tokenization for GPT-5.4, GPT-5.4 Mini, Claude Sonnet 4.6, Gemini 3.5 Flash, and Llama 4 Maverick using accurate per-model algorithms
- Live context window progress bar with green/amber/red zones showing how full the model limit is
- Estimated USD cost for input token processing on major paid models
- One-click smart trim: cut text to exactly fit the selected model's context limit
- Character, word, sentence, and paragraph counts alongside token metrics
- 100% browser-based: your prompts and documents never leave your device
Common Use Cases
- Prompt engineers verifying that system + user prompts fit within GPT-5.4's 1M token context window
- Developers debugging 'context_length_exceeded' errors before they hit the API
- AI researchers comparing how the same text tokenizes differently across GPT, Claude, Gemini, and Llama models
- Content creators optimizing article length for submission to AI summarization services
- Teams budgeting OpenAI API costs by measuring token counts before running batch processing jobs
Your data never leaves your browser
Token Counter is a privacy-first utility for AI engineers, prompt designers, and developers working with Large Language Models. Paste any text and instantly see the exact token count for GPT-5.4, GPT-5.4 Mini, Claude Sonnet 4.6, Gemini 3.5 Flash, and Llama 4 Maverick — using real tokenization algorithms. A live progress bar shows how much of the model's context window you are consuming, and you can trim your text to fit any limit with one click. All processing happens locally in your browser.
How to use it
Select Your Model
Pick the LLM you are targeting: GPT-5.4, GPT-5.4-Mini, Claude Sonnet 4.6, Gemini 3.5 Flash, or Llama 4 Maverick.
Paste Your Text
Type or paste your prompt, document, or any text into the workspace. Token counts update in real time.
Read the Metrics
See token count, context window usage (%), estimated cost, and character/word stats instantly.
Trim if Needed
If your text exceeds the model limit, click 'Trim to Limit' to cut it to the exact token boundary.
FAQ
?How accurate is the token count?
Very accurate. We use the same BPE tokenizer algorithm configurations for OpenAI models, and model-specific approximations for Claude, Gemini, and Llama that match real API counts within ±2%.
?Is my text sent to any server?
No. All tokenization happens locally in your browser using JavaScript. Your prompts, documents, and API strategies are never uploaded or logged.
?Why do different models have different token counts for the same text?
Each model uses a different tokenization algorithm. GPT uses BPE, Llama uses SentencePiece, and Claude uses its own BPE variant. This means the same English text can have 10–20% different token counts across models.
?What is a 'context window'?
The context window is the maximum amount of text (in tokens) an LLM can process in a single call, including both your input (prompt) and the model's output. GPT-5.4 and Claude Sonnet 4.6 support 1M context limits.
?How is the cost estimate calculated?
We use the publicly listed input token prices from OpenAI and Anthropic's pricing pages. This is an estimate for input costs only — output tokens are billed separately by the API.
Need a custom tool?
We're constantly adding new tools. Suggest one or report a bug.
Related Tools You Might Need
Free Online LLMs.txt Generator
Create an llms.txt file to guide AI models and LLMs in understanding your website and documentation.
Free Online Word to Markdown Converter — DOCX to MD
Convert Word (.docx) documents to clean Markdown instantly in your browser. Preserves headings, bold, italics, lists, tables, and links. No upload, 100% private.
Free Online PDF to Text Extractor — Extract Plain Text from PDF
Extract clean plain text from any PDF file directly in your browser. No upload required. Copy all pages, download as .txt, or view page-by-page — 100% private.
Free Online AI Background Remover
Free online AI-powered background remover that works 100% in your browser for total privacy.
Free Online Color Blindness Simulator
Simulate various forms of color blindness (Deuteranopia, Protanopia, Tritanopia) on your images. Compare side-by-side or in a grid and download results. 100% local.
Free Online Markdown Table Generator & Editor
Create, edit, and style Markdown tables visually with our interactive editor. Import CSV or paste Markdown, align columns, and copy formatted code.