LLM Token Counter
GPT-4o ReadyEstimate token usage and costs for the latest AI models. Supports GPT-4o, GPT-4, and Claude. Local processing ensures your data stays private.
Token counts for GPT-4o are calculated locally using js-tiktoken. Estimated costs assume input only and are based on current market pricing.
Tokens
0
Characters
0
Words
0
Est. Cost (Input)
$0.0000
$5/1M tokens
Tokenization Tip
GPT-4 and GPT-3.5 both use the cl100k_base encoding. Claude tokens are estimated using the same base as a reliable approximation.
Why Use a Local Token Counter?
When working with Large Language Models like GPT-4 or Claude, understanding token counts is critical for managing context windows and controlling API costs. However, pasting sensitive prompts into online converters can be a security risk.
DToolkits' Token Counter solves this by running the official tiktokenalgorithm entirely in your browser. This gives you exact counts without ever exposing your data to the internet.
Supported Encodings
- o200k_base: The latest encoding used by GPT-4o. It is more dense and efficient.
- cl100k_base: The most widely used encoding, powering GPT-4 and GPT-3.5 Turbo.
- Claude Models: While Anthropic uses a proprietary tokenizer, cl100k_base serves as an excellent proxy for estimation on most standard inputs.
Cost Estimation
Our tool provides real-time cost estimation based on standard pay-as-you-go pricing for major LLM providers. This helps developers and researchers budget their API calls before sending them to the cloud.
LLM Token Counter FAQs
Tokens are the basic units of text that Large Language Models (LLMs) process. Depending on the tokenizer, a token can be a single character, a word, or even a sub-word (like 'ing' or 'token'). On average, 1,000 tokens are roughly equal to 750 words for English text.
This tool supports the most common OpenAI tokenizers: o200k_base (used by GPT-4o), cl100k_base (used by GPT-4 and GPT-3.5 Turbo), and p50k_base (used by legacy models like Davinci). We also provide a high-accuracy estimate for Anthropic Claude models.
Anthropic hasn't released a public browser-based tokenizer library like OpenAI's tiktoken. However, Claude's tokenizer is structurally similar to cl100k_base. This tool uses cl100k_base as a baseline, which typically provides a very close approximation (usually within 1-2%) for most English text.
No. All tokenization happens locally in your browser using the js-tiktoken library. Your sensitive data, prompts, or proprietary code never leave your machine and are never seen by OpenAI, Anthropic, or DToolkits.
GPT-4o uses the new 'o200k_base' tokenizer, which has a significantly larger vocabulary (200k tokens vs 100k). This makes it much more efficient at encoding text, especially for non-English languages and code, resulting in lower token counts and reduced costs.