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6/26/2026
SuperCompress cuts LLM costs by 65% without losing answers

SuperCompress cuts LLM costs by 65% without losing answers

Original: SuperCompress: Cut LLM Costs by 65% Without Losing Answers

Short summary

SuperCompress cuts LLM inference costs by 65% through a CPU-based filtering policy that removes irrelevant tokens before GPU processing, achieving 100% oracle recall versus 25% for truncation with ~60ms latency. Open source (MIT) with free API tier, Python library, and integrations for OpenAI/LangChain. Estimated savings: 800M tokens, 29kWh, and 12kg CO₂ per million compressions.

  • •65% KV cache reduction with 100% oracle recall accuracy
  • •CPU pre-filtering adds ~60ms latency but eliminates wasted GPU cycles
  • •Open source (MIT), free tier, integrates with major LLM platforms

Generated with AI, which can make mistakes.

#ai-tools#open-source#market-trend
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