TokenBudget AI

Real-Time LLM Tokenizer, Multi-Model Cost Matrix & Prompt Compressor

Source Code
Total Tokens
0 tokens
~0.0 chars/token
Characters & Words
0 chars
0 words • 1 lines
Single Call Cost (GPT-4o)
$0.000000
Input: $2.50 / 1M
100k Calls Projected
$0.00
Annual: $0.00
ProTip: Press Optimize & Compress to shave 20–45% of token expenses
Colored subwords correspond to discrete BPE model tokens:
No text to tokenize. Type or paste prompt in the editor tab.
Hover over any token to inspect its subword index, character boundaries, and raw byte length.
Original Tokens 0
➔
Optimized Tokens 0
Reduction Ratio 0%
Savings / 100k Calls $0.00
Original Prompt 0 tok
None
Optimized & Compressed Prompt 0 tok
Run compressor to generate optimized prompt.

⚡ Multi-Model Cost Matrix

Live Rates
Model Context Cost / Call Cost / 100k
Call Volume Simulator 100,000 calls/mo
1k 100k 500k 1M

📏 Context Window Utilization

128k Limit
0.00% of window 128,000 tokens remaining

📋 Cost Audit Report

No audit compiled yet. Type in prompt to calculate.
TokenBudget AI • In-Browser LLM Tokenizer & Pricing Engine • Developed by Krishna Gupta