Free Online Tokenizer - LLM Token Counter & Cost Calculator

Calculate tokens and costs for OpenAI GPT-4, Gemini, Llama, and other LLMs.

Accurate Token Counting

Uses official tokenizers (tiktoken for OpenAI) to provide exact token counts that match API billing.

Cost Optimization

Compare costs across all major LLM providers and find the most cost-effective model for your needs.

Privacy First

Your text is processed in real-time and never stored. All tokenization happens securely.

1. Model Configuration

Select LLM Model

2. Input Content

Your Text

Enter the text you want to tokenize and calculate costs for

3. Output Configuration

Min Output Tokens Minimum expected

Max Output Tokens Maximum expected

💡 Provide a range to get min/max cost estimates

Understanding LLM Tokenization

Learn how tokenization works and why it matters for your AI projects

What Are Tokens?

Tokens are the fundamental units that Large Language Models use to process text. A token can be a word, part of a word, or even a single character. For example, "tokenization" might split into ["token", "ization"], while "cat" is typically one token. Understanding tokenization helps you optimize costs and stay within model limits.

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Why Token Counting Matters

LLM providers charge per token, not per word or character. Accurate token counting helps you estimate costs, avoid exceeding context limits, and optimize your prompts. A 1,000 word document might be 1,300 tokens or 1,500 tokens depending on the model - knowing the exact count is crucial for budgeting and planning.

Why Use This Tool

Supported Models & Tokenizers

We support token counting for all major LLM providers using their official tokenizers:

OpenAI: GPT-4, GPT-3.5 (tiktoken/BPE)
Google: Gemini Pro, Flash, Ultra (SentencePiece)
Meta: Llama 2, Llama 3 (SentencePiece)
Anthropic: Claude 3 Opus, Sonnet, Haiku
Groq: Mixtral, Llama on Groq infrastructure

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Common Use Cases

Our tokenizer helps with:

✓ Estimating API costs before deployment
✓ Optimizing prompts to reduce token usage
✓ Comparing pricing across different models
✓ Ensuring prompts fit within context windows
✓ Debugging token limit errors
✓ Planning scaling costs for production apps

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100% Free

Always

No registration or limits

Real-Time

Instant

Results in milliseconds

Privacy

Protected

Text is never stored not even in logs

Models

All major providers

New to LLM Tokenization?

Learn how tokenization works, why it matters, and how to optimize your LLM usage with our comprehensive guides.

How It Works FAQ