Input Text (Prompt)
Tokenizer: cl100k_base (OpenAI)
Characters: 0
Image Cost (Multimodal)
Image Tokens:
0
Based on GPT-4 Vision high-res calculation.
Token Breakdown
Total Input
0
Text + Image
Est. Output
1,000
Response Length
tokens
Estimated Cost (Input + Output)
| Model | Input | Output | Total |
|---|
Cost estimates are approximate based on public API pricing.
Token Counter FAQ
Understanding token usage is crucial for managing costs when working with Large Language Models (LLMs) like ChatGPT and Claude.
Features
- Not just words: 1000 tokens is approximately 750 words.
- Tokenizer: We use the standard `cl100k_base` encoding used by GPT-4 and most modern LLMs (including Claude and Llama approximation).