Vision token estimator
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About Vision token estimator
Vision-capable chat models don't charge "pixels" directly — they charge tokens produced by an internal image encoder. Exact counts depend on provider, model version, detail flags, and cropping. This page offers two coarse formulas so product teams can sanity-check orders of magnitude before they instrument real traffic. Always validate against official documentation and usage dashboards.
Key Features
- Pixel width and height inputs
- Tile-based and compact estimation modes
- Token output with methodology hints
Use Cases
- Quote vision features before launch
- Compare aspect ratios for token cost
Pro Tips
- Very wide banners create many tiles in tile-based modes — redesigning crops can save money.
Frequently Asked Questions
Is this exact for GPT-4o?
No. It is a planning band; OpenAI’s tokenizer may differ materially for your images.