AI Model Cost Calculator — Estimate text and image processing costs for GPT-4, Claude, and Gemini — token-aware cost planning for computer vision and multimodal AI. — https://www.pirahansiah.com/notes/docs/projects/ai-cost-calculator/

AI Model Cost Calculator

Estimate token and processing costs for multimodal AI models — GPT-4 Turbo with Vision, Claude, and Google Gemini. Use this guide to budget computer-vision and LLM workloads before you build.

Why Track Token Costs?

Vision and language models charge per token. Images can be expensive: a 1080×1080 image in GPT-4 Vision high mode is split into 512-pixel tiles and billed as base cost plus per-tile cost. Understanding the math prevents surprise bills in production.

Cost Factors

  1. Input tokens — text prompt plus image tokens.
  2. Output tokens — generated text (usually pricier per token).
  3. Image mode — low mode (fixed 85 tokens/image) vs high mode (base 85 + 170 tokens per 512px tile).
  4. Model tier — GPT-4 class, Claude Opus/Sonnet, Gemini Pro — each has different rates.
  5. Caching & batching — prompt caching and batched inference reduce effective cost.

How to Estimate

  1. Count prompt tokens (a rough rule: ~1.3 tokens per word, plus image tokens).
  2. Multiply by the model’s input price per million tokens.
  3. Add estimated output tokens at the output price.
  4. Multiply by expected request volume per month.