LLM Token Counter
Count tokens for GPT, Claude, Gemini models with cost estimates
What is LLM Token Counter?
LLM Token Counter breaks down text into tokens — the units large language models use for processing — and estimates API costs for GPT-4, Claude, and Gemini models.
When to use this tool
- Estimating OpenAI API costs before sending a request
- Checking if your prompt fits within a model's context window
- Optimizing prompts to reduce token usage
- Comparing token efficiency across different phrasings
- Debugging context-length exceeded errors
How it works
Uses model-specific tokenizers (tiktoken for OpenAI, Claude tokenizer for Anthropic) to split text into subword tokens. Each model has a different tokenization scheme — the same text may produce different token counts for GPT-4 vs Claude. Shows token breakdown with per-model pricing.
Examples
About LLM Token Counter
Count tokens for GPT, Claude, Gemini models with cost estimates It runs entirely in your browser — no files are uploaded to any server, ensuring complete privacy and instant results.
- •Detect AI-generated text with probability scores
- •Count tokens for GPT, Claude, and Gemini
- •Estimate API costs per model
- •Works with any text input up to 100K tokens
Last updated: 2025-01-15
FAQ
Count tokens for GPT, Claude, Gemini models with cost estimates
Yes, completely free. No signup required.
Yes. Runs entirely in your browser, no files uploaded.
Yes, works on any device with a modern browser.
No, everything runs in your browser.