LLM Cost Control: Practical Tactics
Reduce LLM spend without sacrificing quality.
Cost control starts with measurement. Track tokens, latency, and error rates so you can see where spend is going.Use caching for repeated requests, and route simple queries to cheaper models. Reserve larger models for complex tasks.
Optimize prompts by removing unnecessary context and keeping system instructions tight. This reduces both cost and latency.
Set budget alerts and feature-level limits. Teams should know when they are approaching cost thresholds.
Cost control is not about cutting quality. It is about allocating expensive intelligence where it matters most.
Key takeaways
- Measure cost drivers at the feature level.
- Route simple tasks to cheaper models.
- Prompt efficiency reduces cost and latency.
- Budget alerts prevent surprises.
Checklist
- Token usage and latency tracked
- Caching strategy implemented
- Model routing rules defined
- Budget alerts configured
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