AI agent benchmarks · 2026-04-06
Elastra for agents: the context layer that cuts token waste
A technical benchmark on why Elastra reduces token waste for coding agents, where the gains are strongest, where they fall off, and how to interpret savings rigorously.
Elastra does not compete with the model. It improves context efficiency, which is usually where coding agents waste the most tokens before useful work begins.
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- Context acquisition savings typically land in the 80% to 90% range.
- End-to-end task savings usually land between 40% and 75%, with strong cases reaching 60% to 85%.
- The largest gains appear when discovery, onboarding, or architectural understanding are expensive without assistance.
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