Token saving guide
Save LLM tokens: 7 strategies that work
Saving LLM tokens doesn't mean sacrificing quality. Here are 7 proven ways to cut token usage.
1. Prompt compression (highest impact)
pip install supercompress
from supercompress import Compressor
comp = Compressor()
result = comp.compress(long_context, query)Frequently asked questions
What's the fastest way to save tokens?
Install prompt compression. It saves 60-85% on every call.
Does saving tokens reduce quality?
Not when done with query-aware compression.
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.