AI Token Counter
Estimate token weights, word frequencies, and billing prices for GPT-4, Claude, and LLaMA tokenizer models.
100% Client-Side (No data leaves your device)
Input Text / JSON Payload
0 chars
1
Token Metrics Analysis
GPT-4 / GPT-3.5
0
cl100k_base tokens
Claude (Anthropic)
0
approx. tokens
LLaMA (Meta)
0
approx. tokens
GENERAL PAYLOAD METRICS
| Characters Count | 0 |
| Words Count | 0 |
| Sentences Count | 0 |
| Paragraphs Count | 0 |
| Average Token Price (GPT-4 Input) | $0.0000 |
User Guide: AI Token Estimation and Metrics
What is an LLM Token?
Large Language Models (LLMs) do not read text letter-by-letter. Instead, they process sequences of characters called tokens. A token is roughly equivalent to 4 characters or 0.75 words in English. Estimating your token weights helps optimize prompts, avoid API limit breaches, and calculate billing expenses beforehand.
Understanding Tokenizer Models
- GPT-4 / GPT-3.5 (cl100k_base): The default tokenizer mapping OpenAI input sequences.
- Claude (Anthropic): Optimized for conversational payloads, showing slightly different character-to-token weights.
- LLaMA (Meta): Open-weights tokenizer configured for multi-language syntax variables.
Unicode & JSON Token weight estimation
JSON keys (like braces, quotation marks, and spacing indents) consume tokens just like regular words. Our counter recursively counts keys, spaces, and strings client-side, running local statistical BPE heuristics to deliver close approximations for all models instantly.