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AI Prompt Cost Optimizer — Reduce API Costs with Better Prompting

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.

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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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