Calculate how much you can save by optimizing your AI prompts. Compare cost of verbose vs lean prompts, system prompt caching, and model switching strategies.
Practical example: 3K→1.2K tokens, 800 output, 100K requests/mo, GPT-4o. For a bloated system prompt cleanup scenario, enter the values that match your situation to get an instant cost estimate.
How much can prompt optimization reduce AI API costs? Well-engineered prompts can reduce input token count by 40-70% without quality loss. On GPT-4o at $2.50/M input tokens: cutting 2,000 tokens per request across 100K monthly requests saves $500/month. Combined with caching (50% discount via Anthropic/OpenAI prompt caching) and model routing (cheap model for simple tasks), total cost reduction of 60-80% is achievable.
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