Vibe coders need confidence in their LLM API spend. Our methodology ensures zero spreadsheet math and prevents costly surprises on launch day, giving you peace of mind.
Context Windows, Prompt Ratios, and Caching
Our model meticulously separates input prompt tokens from output completion tokens, applying provider-specific rates. This granular approach ensures you're only paying for what you use, and never overestimating your token burn across diverse models.
We also factor in complex scenarios like context caching discounts for repeated prompts and long-context scaling penalties. This prevents unexpected charges and offers a true real-world projection for your AI application, ensuring accuracy.
Calculate Your Real-World Token Burn
Input your workload parameters into our calculator to receive a detailed, model-by-model cost breakdown straight to your inbox. No more guessing, just precise data.