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LLM Cost & Latency Optimization in Production

A practical checklist to lower LLM spend while improving latency: caching, batching, prompt hygiene, and smart fallbacks.

Micheal Poh
January 22, 2025
7 min read
LLMPerformanceCostLatency
LLM Cost & Latency Optimization in Production

LLM Cost & Latency Optimization in Production

Keep user experience snappy without blowing up your bill.

1) Prompt hygiene

  • Remove dead text and redundant instructions.
  • Prefer short system prompts + concise few-shots.
  • Use tool/form-based inputs where possible.

2) Caching and batching

  • Semantic cache frequent Q&A.
  • Batch requests when fan-out is predictable.
  • Reuse retrieved context when safe.

3) Model routing

  • Match model to task difficulty; default to a smaller model with an automatic fallback to a stronger one on low-confidence.
  • Distill high-traffic flows to lighter models.

4) Timeouts and fallbacks

  • Enforce per-call and end-to-end time budgets.
  • Provide graceful fallbacks (cached summary, heuristics, or direct search).

5) Monitoring

  • Track P50/P95 latency, cost/request, token usage, and error rates.
  • Alert on spikes; ship config-driven rollouts and quick rollbacks.

Iterate with dashboards and budgets so cost and latency stay predictable.

DG

Micheal Poh

Blockchain & Full-Stack Engineer with expertise in smart contract development, DeFi protocols, and Web3 architecture. Passionate about building secure, scalable decentralized applications.