Frequently asked questions
How is image cost calculated for vision models?
Vision models split an image into 512-pixel tiles. GPT-4o-style pricing charges a fixed base (about 85 tokens) plus roughly 170 tokens per tile, then bills those as normal input tokens. A 1024ร1024 image is four tiles, so about 765 tokens โ the more megapixels, the more tiles and tokens.
How do I reduce vision API cost?
Downscale images before sending them โ resolution drives tile count, and most tasks do not need full resolution. Use low-detail mode when the model offers it (a flat, cheap token cost), crop to the region that matters, and avoid re-sending the same image across turns of a conversation.