Prompt compression guide

Prompt compression that keeps the answer

Prompt compression is the practical way to reduce oversized LLM requests before they hit an expensive model. SuperCompress scores context against the current question and keeps the lines most likely to matter.

By Arjun Shah - Creator of SuperCompress - Updated 2026-07-03

Why prompt compression matters

Every LLM call processes your full prompt including context that may be irrelevant to the question. In agent loops, RAG pipelines, and coding assistants, context accumulates rapidly.

Without prompt compression, you pay for every token regardless of relevance. A typical RAG query sending 4,000 tokens may only need 400 of them to answer the question.

How prompt compression works

SuperCompress uses a learned ~5K-parameter policy that scores every block of context against your question, then keeps only the blocks most likely to contain answer-relevant information.

from supercompress import Compressor
compressor = Compressor()
result = compressor.compress(
    context=long_context,
    query="What caused the failed deployment?"
)
print(f"Removed {result.tokens_removed} tokens")

Prompt compression vs summarization

FactorPrompt CompressionSummarization
MethodSelects original linesRewrites with LLM
Extra cost~60ms CPUFull LLM call
Oracle recall100%~61%

Cost savings from prompt compression

ScenarioDaily CallsGPT-4o Monthly Savings
Small agent100~$20
Medium RAG app1,000~$295
Enterprise500,000~$98,500

Frequently asked questions

Is prompt compression the same as summarization?

No. Summarization rewrites the prompt using another LLM call, changing wording and potentially losing facts. Query-aware compression selects original lines that matter for the current question.

How much can prompt compression save?

SuperCompress averages 82.5% savings on bundled long-context presets.

Does prompt compression add latency?

SuperCompress adds ~60ms on CPU, often compensated by reduced GPU prefill time.

Try it yourself

Paste your long prompt into the playground, ask a question, and see what SuperCompress keeps and removes. Free, no signup needed.

Open the Playground See benchmarks