Rx Codex Tokenizer is a state-of-the-art BPE tokenizer designed for modern AI applications. With 128K vocabulary optimized for English, code, and medical text, it outperforms established tokenizers in comprehensive benchmarks.
Developed by Rx Founder & CEO of Rx Codex AI
Benchmark Results
Tokenizer Battle Royale - Final Scores
Tokenizer
Final Score
Speed
Compression
Special Tokens
Chat Support
🥇 Rx Codex
84.51/100
24.84/25
35.0/35
16.67/20
15/15
🥈 GPT-2
67.89/100
24.89/25
35.0/35
0.0/20
15/15
🥉 DeepSeek
67.77/100
24.77/25
35.0/35
0.0/20
15/15
Final Scores Comparison
Final Scores
Speed Analysis
Speed Comparison
Compression Efficiency
Compression Comparison
Multi-dimensional Analysis
Capabilities Radar
Token Count Efficiency
Token Count Comparison
Key Features
128K Vocabulary - Optimal balance of coverage and efficiency
Byte-Level BPE - No UNK tokens, handles any text
Medical Text Optimized - Perfect for healthcare AI applications
Code-Aware - Excellent programming language support
Chat-Ready Tokens - Built-in support for conversation formats
Technical Specifications
Vocabulary Size: 128,256 tokens
Special Tokens: 9 custom tokens
Model Type: BPE with byte fallback
Training Data: OpenOrca 5GB English dataset
Average Speed: 0.63ms per tokenization
Compression Ratio: 4.18 characters per token
Use Cases
Chat AI Systems - Built-in chat token support
Medical AI - Optimized for healthcare terminology
Code Generation - Excellent programming language handling
