The Ultimate Token Counter for AI Models
Welcome to the most comprehensive token counter online — the free AI token counter trusted by developers, prompt engineers, and AI enthusiasts worldwide. Whether you need an OpenAI token counter, a Claude token counter, or a Gemini token counter, our tool delivers instant, accurate results without sending your data to any server.
Why Use Our Token Counter?
Every LLM token counter on the market claims accuracy, but few deliver true cross-provider comparison. Our token counter for AI supports OpenAI, Anthropic, Google Gemini, Meta Llama, DeepSeek, Mistral, Alibaba, xAI, Nvidia, and Cohere models — all from a single interface. Simply paste your prompt, and our prompt token counter instantly calculates token usage, context window fill percentage, and API costs for every model side by side.
Looking for a GPT token counter or ChatGPT token counter? Our tool uses OpenAI's own tiktoken library (o200k and cl100k encoders) to give you the exact token count your GPT model will use. Hover the info icons next to each encoder label to learn exactly which models use which tokenizer. Need a Claude token counter? We estimate Anthropic's tokenization with high precision using a calibrated proxy scale. For Gemini token counter requests, we apply Google's tokenizer approximation so you can compare costs before making an API call.
Count Tokens from Files Instantly
Our file token counter and file token calculator let you upload CSV, JSON, TXT, LOG, or MD files up to 10 MB and instantly see how many tokens your dataset consumes. For CSV files, each row is tokenized individually so you can see per-row token counts. Whether you are preparing training data, estimating API costs for batch processing, or auditing a large prompt library, the file upload feature streams rows efficiently and gives you a full token breakdown — no server required.
Batch Processing for Bulk Tokenization
Need to tokenize thousands of prompts at once? Our batch token counter processes entire CSV and log files row by row, giving you per-row token counts and cost estimates. Upload a CSV with 10,000 rows and get a complete breakdown in seconds — all computed locally in your browser.
One-Click Prompt Optimizer
Our built-in prompt optimizer helps you cut token waste before you ever hit the API. Click the Optimize button on any Prompt, Code, or JSON input and instantly strip overly polite phrases ("Please provide me with…"), filler words ("basically", "actually", "just"), wordy constructions ("in order to", "due to the fact that"), and repetitive text. The optimizer compresses extra whitespace and blank lines without changing your meaning — so the LLM gets the same signal with fewer tokens. Made a mistake? Press Ctrl+Z (or Cmd+Z on Mac) to undo the optimization instantly.
After optimization, a savings bar shows exactly how many tokens you saved, the percentage reduction, and an estimated monthly cost impact based on 10,000 API calls. Many users see 15–30% token reduction on verbose prompts, which translates directly into lower API bills across OpenAI, Anthropic, Gemini, and every other provider.
Token Visualization
Our color-coded Token Visualizer shows exactly how the tokenizer splits your text into individual tokens. Each token is displayed as a distinct colored segment, so you can see precisely where word boundaries, spaces, punctuation, and special characters create separate tokens. This visual feedback helps you understand what drives your token count and write more efficient prompts.
Compare Costs Across Every Major LLM
The token counter openai experience goes beyond counting. Our Bill Calculator shows input cost, output cost, and total API call cost for flagship models from OpenAI, Anthropic, Google, Meta, DeepSeek, Mistral, Alibaba, xAI, Nvidia, and Cohere. Costs are displayed with adaptive precision — small amounts show more decimal places, larger amounts are rounded — so the numbers stay readable without overflowing the layout. You will instantly see which model offers the best value for your specific prompt — saving you money on every API call.
Need a Llama token counter? We use Meta's official llama3-tokenizer-js library for exact tokenization. Our Open AI token counter (note: we support both spellings) works with GPT-4o, GPT-4.1, GPT-5.x, o1, o3, o4-mini, GPT-4 Turbo, and GPT-3.5 Turbo. The Anthropic token counter covers Claude Sonnet 5, Claude Opus 4.8, Claude Sonnet 4.6, Claude Haiku 4.5, and legacy Claude 3.x models. Each encoder — cl100k, o200k, and llama3 — has an info icon with a tooltip explaining which models it covers. No matter which provider you use, our AI token counter has you covered.
Comparative Analysis & Market Insights
Open the Comparative Analysis dashboard to see a visual breakdown of the LLM market. View a market share doughnut chart sourced from real OpenRouter usage data (refreshed twice daily), average input and output costs per provider, your prompt's cost broken down by provider, and a cost-efficiency ranking showing tokens per dollar. This data helps you understand which providers dominate the market and which model gives you the best bang for your buck.
Complexity Score — Across Every Input Type
The Complexity Score is a client-side analysis that scores any input from 1.0 to 10.0 across three pillars — Structural (30%), Cognitive (40%), and Operational (30%) — and adapts its metrics to the active input type. Prompt analysis measures word count, template variable density ({{variable}}), output-format constraints (JSON schemas, YAML, CSV, markdown tables), chain-of-thought reasoning patterns, few-shot examples (Input:/Output: pairs and ### headers), persona framing, and numbered steps. Code analysis measures lines of code, nesting depth, declared functions and classes, control-flow branches, dependencies, and async/concurrency usage. JSON analysis measures payload size, key/field count, nesting depth, value-type diversity, array size, and element cardinality. Batch CSV/Log analysis measures row volume, column width, delimiter consistency, value variance, and total token payload size. An overview strip shows a score card for each input type, and clicking a card jumps straight to its detailed breakdown. The score is classified into LOW (1.0–3.9), MEDIUM (4.0–7.4), and HIGH (7.5–10.0) tiers with prioritized recommendations. Everything runs locally in your browser with zero server calls.
100% Private and Client-Side
Privacy matters. Unlike other online token counter tools, our entire tokenization pipeline runs in your browser. Your prompts, code, and files never leave your device. There are no servers, no tracking, and no data collection. This makes our token counter online the safest choice for sensitive prompts, proprietary code, and confidential data. After the first load, the app works offline — no internet connection required.
Dark Mode & Accessibility
Switch between light and dark themes with a single click. Your preference is saved automatically and persists across sessions. The app also respects your system's preferred color scheme on first visit, making it comfortable for late-night coding sessions and bright offices alike.
Built for Developers and Prompt Engineers
Whether you are building AI-powered applications, fine-tuning system prompts, or simply trying to understand how many tokens your ChatGPT token counter usage is consuming, our tool gives you the data you need. Switch between Prompt, Code, JSON, and Batch CSV/Log input modes — hover each tab for a quick description of what it handles. Analyze the complexity of each input type with tailored metrics and compare them at a glance via the overview strip. Visualize individual tokens in real time with our color-coded token viewer. Set expected response length up to 99,999 tokens to estimate full conversation costs.
Start using the best token counter today — free, private, and incredibly fast. No sign-up, no API key, no limits. Just paste your text and get instant AI token counts across every major language model.
