Estimate how many tokens an image costs and translate that into USD across GPT-4o, Claude, and Gemini. Adjust image dimensions, detail level, and model to see cost in real time.
Multimodal models do not read pixels directly. They slice an image into fixed-size tiles, embed each tile, and charge you for the resulting tokens just like text. This vision token cost calculator makes that hidden cost visible before you send a batch of images to an API.
OpenAI's GPT-4o family scales images so the shortest side is 768px (High) or uses a single 512px tile (Low). Each 512×512 tile costs a base of 85 tokens, plus the model adds a fixed overhead of 170 tokens per image. So a 1024×1024 photo at High detail becomes four tiles: 4 × 85 + 170 = 510 tokens. Larger documents with many tiles multiply quickly.
Anthropic's Claude models approximate vision tokens at roughly (width × height) / 750 for typical screenshots, with a 1.6x safety multiplier on dense content. Google's Gemini charges about (width × height) / 285 tokens for inline images. This tool uses the conservative tile model for GPT-4o and the published per-pixel approximations for Claude and Gemini, so the comparison row shows how the same picture costs different amounts on each provider.