CuToken
Multi-pass prompt and token optimizer that shortens LLM inputs to reduce API costs and latency.
Open productWhat it does
About CuToken
CuToken is a multi-pass token and prompt optimizer created by Mohammad Yawar and Asad Abdullah to streamline prompt text for AI models. Operating without machine learning inference or GPU requirements, its engine leverages pure PHP string operations and regular expressions to normalize Unicode, handle quotes and punctuation, compress phrases, and validate grammar structure. Designed to maintain original meaning, CuToken reduces prompt size across 16 supported models—such as GPT-4o and Claude 3.5 Sonnet—to assist developers in reducing LLM API costs, lowering latency, and cleaning system prompts.
- Availability:
- launched
- Access:
- freemium
- Format:
- software
- Platform:
- web
Pricing at launch: Offers a free live optimizer requiring no signup, alongside paid Pro credit tiers priced at 1 credit per 4,000 characters.
Core capabilities
Multi-Pass Text Normalization & Lexical Compression
Executes normalization routines to clean whitespace, convert smart quotes, adjust em-dashes, and standardize Unicode characters alongside a lexical optimization pass that removes stutter, fillers, greetings, and compresses phrases.
Keep discovering
Related debuts
Continue with products that solve a similar problem or serve the same kind of maker.
