AI Token Counter & LLM Cost Estimator
Estimate token counts from raw prompt text and compare real time API invocation costs across OpenAI GPT 4o, Anthropic Claude 3.5, and Google Gemini.
How to Use the AI Token Counter & LLM Cost Estimator
- 1 Type or paste your prompt, system instructions, or context window text.
- 2 View real time estimates for token count, words, and byte length.
- 3 Compare estimated API execution costs across leading models.
- 4 Transfer your prompt into Olevx Notepad to refine and trim token overhead.
Methodology & Algorithmic Standards
Implements BPE (Byte Pair Encoding) heuristic tokenization based on cl100k_base vocabularies (~4 English characters per token with punctuation, camelCase, and newline weighting) calibrated against standard OpenAI and Anthropic tokenizers.
Frequently Asked Questions
How accurate is this token counter compared to tiktoken? ▼
For standard English prose and code, our client side heuristic is within 95% to 98% accuracy of the official OpenAI and Anthropic BPE tokenizers.
Why do numbers and special symbols consume more tokens? ▼
Tokenizers group common words as single tokens, but unique numbers, code indentation, and uncommon unicode symbols are split into multiple sub-tokens.
Does this calculate input vs output pricing? ▼
Yes. The comparison table displays standard per-million-token input pricing and expected output pricing across major commercial models.
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