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Reliability Testing

Cost Optimization

Master strategies to reduce AI agent costs while maintaining performance quality

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Why Cost Optimization Matters

AI agents can burn through budgets quickly. A single GPT-4 call processing 8K tokens costs ~$0.36. Multiply by 10,000 daily users and you're spending $3,600/day ($1.3M/year) before you optimize. Cost optimization isn't optional—it's the difference between sustainable business and burning investor cash.

The Cost Reality

Unoptimized Agent
$50,000/mo
GPT-4, long prompts, no caching
Optimized Agent
$8,000/mo
Smart routing, caching, GPT-3.5 where possible
84% cost reduction through systematic optimization. Same user experience, different implementation strategy.

Interactive: Explore Cost Drivers

Click each driver to understand where your costs come from and how to optimize:

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Start with the 80/20 Rule

Focus optimization efforts on high-leverage areas first: model selection (50-90% impact), prompt length reduction (40-70%), and caching (30-60%). These three strategies alone can cut costs by 70-85% before you touch more complex optimizations like request batching or custom fine-tuned models.

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