Calculate API costs for popular AI models
Yes, completely free. Compare AI model costs as often as you need — essential for startups, indie developers, and enterprises managing AI budgets.
No. All calculations are done locally in your browser. Your cost estimates and usage projections remain private.
For token estimation: (1) A typical English word is ~1.3 tokens. A paragraph of 100 words is roughly 130 tokens. (2) Code uses more tokens per character because symbols, operators, and indentation are tokenized separately. (3) Chinese/Japanese/Korean text uses 1–2 tokens per character. (4) Use the tokenizer tools from each provider to get accurate counts for your specific content. For cost optimization: (A) Cache common responses to avoid redundant API calls. (B) Use smaller, cheaper models for simple tasks (classification, extraction, formatting) and reserve large models for complex reasoning. (C) Implement prompt compression — shorter prompts cost less and run faster. (D) Consider open-weight models (Llama, Qwen, DeepSeek) if you can self-host or use a cost-optimized inference provider. (E) Track your actual token usage per endpoint to identify optimization opportunities — many projects find that 80% of costs come from 20% of endpoints. A typical rule of thumb: budget $0.50–