Calculate token count and cost for AI prompts across OpenAI, Claude, and other LLM providers
A prompt token cost calculator computes expenses for AI text generation based on prompt length, expected response length, frequency of requests, and model selection (GPT-4, GPT-3.5, Claude, Gemini). Estimates token count from word count using standard approximation (1 token ≈ 0.75 words for English), applies model-specific pricing for input and output tokens separately, and calculates total costs per request, daily, monthly, and annually. Essential for prompt engineers optimizing costs, developers building AI applications, and businesses budgeting AI features.
Write cost-effective prompts by understanding how prompt length directly affects expenses—longer system prompts cost money on every API call, while shorter focused prompts can achieve similar results for fraction of cost. Choose optimal models for tasks—GPT-3.5 at $0.50-1.50/million tokens handles simple tasks while reserving GPT-4 at $10-30/million tokens for complex reasoning that truly benefits from advanced capabilities. Calculate ROI of AI features by comparing API costs to value generated—if feature costs $500/month but generates $5000 in revenue, clear win. Optimize prompts iteratively by testing variations and calculating cost impact of changes. Set usage limits and alerts to prevent runaway API bills from bugs or unexpected usage spikes.
Enter or paste prompt text to automatically count words and estimate tokens (or directly enter token count if known). Add expected response length in words or tokens. Select model (GPT-4 Turbo, GPT-3.5 Turbo, Claude 3 Opus, Claude 3.5 Sonnet, Gemini Pro) and frequency of requests (per hour, day, month). Results show cost per request, cumulative daily/monthly/annual costs, and token breakdown. Optimize by: reducing system prompt verbosity (repeat calls waste money on same context), limiting max tokens in API calls, using few-shot examples only when necessary, and implementing caching for repeated prompt components. Remember: input tokens (your prompt) and output tokens (AI response) are priced separately, with output typically costing 2-3x more.
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