What is an LLM token counter?

An LLM token counter estimates how many tokens your text will consume when processed by large language models like GPT-5, Claude, or Gemini. Tokens are the fundamental units AI models use to process text — roughly 1 token per 4 English characters on average. Knowing your token count helps control API costs and stay within context limits.

How many characters equal one token for GPT-4o?

For GPT-4o, approximately 3.9 characters equal one token on average for English text. GPT-4o uses OpenAI's o200k_base tokenizer with a 200,000-token vocabulary, making it slightly more efficient than the older cl100k_base used by GPT-4.

Is this token counter free?

Yes. LLMTokenCounter.online is completely free to use with no signup, no registration, and no usage limits. All calculations run in your browser — no data is sent to any server.

Which AI models does this token counter support?

LLMTokenCounter.online supports 60+ models including GPT-5, GPT-4o, GPT-4, Claude Opus 4, Claude Sonnet 4, Claude 3.5, Gemini 2.5 Pro, Gemini 2.5 Flash, LLaMA 4, LLaMA 3.3, Mistral Large, DeepSeek R1, DeepSeek V3, Cohere Command, xAI Grok, and many more.

How does Claude's tokenizer differ from GPT's?

Claude (Anthropic) uses its own BPE tokenizer with approximately 3.6–3.7 characters per token for English text. GPT-4o uses OpenAI's o200k_base tokenizer at ~3.9 characters per token, while Gemini uses SentencePiece with a 256,000-token vocabulary at ~4.2 characters per token — making Gemini slightly more token-efficient for English.

LLM Token Counter – Free Token Calculator for GPT-5, Claude 4, Gemini, LLaMA & 60+ AI Models

LLM Token Counter

LLM Token Counter helps you determine the cost per token. Enter text below, and the tool will tell you the number of characters, sentences, and words in your paragraph.

What is the purpose of this LLM Token Counter?

Like all AI models, Large Language ModelsAI models, Large Language Models (LLMs) work on tokens for cost estimation. Popular models like OpenAI’s GPT, Google’s Gemini, and Meta’s LLaMA use tokens for processing and pricing.

LLM Model Limitations

This tool helps estimate the cost per request in any AI model by calculating words to tokens using an LLM calculator.

LLM Token Counter – Accurate Token Estimation for All AI Models

LLM Token Counter is a free online platform designed to help developers, researchers, content creators, and AI engineers accurately estimate token usage across modern large language models. Whether you are working with OpenAI, Claude, LLaMA, Mistral, Gemini, or DeepSeek models, our tools give you instant insights into token counts, words, and characters.

Tokens are the fundamental unit used by AI language models to process text. Understanding token limits is critical for controlling API costs, avoiding context overflows, and optimizing prompt performance. With LLMTokenCounter.online, you can estimate tokens before sending requests to any model.

Why Token Counting Is Important for LLMs

Most AI providers calculate pricing and context limits based on tokens rather than words. A single sentence can consume a different number of tokens depending on the model. For example, GPT-4, Claude, Gemini, and LLaMA all tokenize text differently. This makes a reliable token counter essential for production-ready AI applications.

Prevent prompt truncation and context overflow
Estimate API usage cost before deployment
Optimize system prompts and chat history
Compare token behavior across models

Supported AI Models & Token Counters

Our homepage provides quick access to over 60+ dedicated token counters, each optimized for a specific model. You can directly open any tool and calculate tokens in real time.

Universal Token Estimation

Not sure which model you are using? The Universal Token Estimator provides a general approximation based on industry-standard token-to-character ratios. This is useful for early planning, drafts, and multi-model comparisons.

How Our Token Counter Works

Each tool uses a model-specific heuristic derived from public tokenizer behavior. While exact tokenization may vary slightly depending on the provider, our estimates are highly reliable for prompt planning and cost estimation.

Simply paste your text, and the tool instantly shows:

Total token count
Word count
Character count
Average characters per token

Who Should Use LLM Token Counter?

LLM Token Counter is ideal for:

AI developers building chatbots and agents
Prompt engineers optimizing system prompts
Businesses managing AI API costs
Students and researchers experimenting with LLMs
Content creators using AI writing tools

All tools are browser-based, fast, and privacy-friendly. We do not store or log your input text.

Why token counting matters

Most AI providers price API usage by tokens, not words. Understanding your token consumption before sending requests is essential for cost control, avoiding context overflow, and building production-ready AI apps.

Prevent prompt truncation and context window errors
Estimate API costs before deployment
Optimize system prompts and conversation history
Compare tokenization across different models

How it works

Each tool uses a model-specific heuristic derived from publicly documented tokenizer behavior. While exact tokenization can vary slightly per provider, our estimates are reliable for prompt planning and cost calculation.

Simply paste your text — get instant token, word, and character counts. No data is stored or transmitted. Everything runs in your browser.

Browser-based, fully private
Zero latency — no server round-trips
Works for prompts, system messages & long documents

Count tokens accurately