Financial guide
Cost-per-query analysis
Every token you compress is money you keep. Here is how to calculate your exact savings with SuperCompress.
Savings calculator
Formula: Annual Savings = (Daily Queries × Tokens per Query × Compression Ratio × Cost per Token) × 365
Example: 10,000 queries/day × 4,000 tokens/query × 65% compression × $2.50/1M tokens × 365 = $23,725/year
Savings by model
| Model | Input Cost/1M Tokens | Annual Savings (10K q/day) |
|---|---|---|
| GPT-4o | $2.50 | $23,725 |
| Claude 3.5 Sonnet | $3.00 | $28,470 |
| GPT-4o-mini | $0.15 | $1,424 |
| Claude 3 Haiku | $0.25 | $2,373 |
Frequently asked questions
What is the ROI on implementing compression?
For most teams, compression pays for itself within the first day of implementation.
Do these savings include the compression cost?
Compression itself costs ~60ms of CPU time — essentially free compared to LLM API costs.
Build with less context
Put compression in front of your next LLM call.
Use the hosted API or run SuperCompress locally. Keep the evidence, drop the token waste, and measure the savings before it reaches your model.