Model optimization
GPT-4 Turbo compression
GPT-4 Turbo costs $10 per million input tokens — four times more than GPT-4o. Compression is essential for keeping costs manageable.
GPT-4 Turbo economics
At $10/1M input tokens, a 4,000-token prompt costs $0.04. At 10,000 queries/day, that's $400/day in input alone. Compression to 1,400 tokens drops this to $140/day. Annual savings: $94,900.
Frequently asked questions
Does compression affect GPT-4 Turbo differently?
No. Compression is model-agnostic. The same compressor works for all GPT models.
Should I use a lower compression budget for GPT-4 Turbo?
GPT-4 Turbo is more capable of handling compressed input, so standard compression budgets work well.
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.