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Mavik Labs — LLM Cost Optimization in 2026

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2026-07-14

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2026-07-14 / SKILLSRoute requests to the cheapest capable model by task difficulty before reaching for caching or batchingThe 2026 LLM cost stack layers routing, caching, and batching to cut 70–85% of spend, and routing is the highest-leverage lever: classify each request's difficulty and send easy ones to a small model, escalating to a frontier model only when needed. Most production traffic is easy queries being over-served by a top-tier model. Add a lightweight difficulty classifier in front of your LLM calls and you reclaim the largest share of the bill before touching prompt hygiene.

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