Gemini 1.5 Pro vs GPT-4o Vision Cost Comparison

When scaling multimodal AI applications, choosing between Google Gemini 1.5 Pro and OpenAI GPT-4o comes down to their fundamental pricing architectures.

OpenAI GPT-4o: The Tile Architecture

OpenAI calculates image costs using a tile-based system. Images are first scaled to fit within a 2048x2048 box, then divided into 512x512 pixel tiles.

• Base cost: 85 tokens per image
• Tile cost: 170 tokens per 512x512 tile For high-resolution images, costs can escalate quickly as the tile count increases.

Google Gemini 1.5 Pro: Flat Rates vs. Dynamic Tiles

Google approaches vision pricing slightly differently. Depending on the exact API endpoint, Google either charges a flat 258 tokens per image or breaks it down into 768x768 tiles. This often makes Gemini more predictable for massive batches of standardized images.

Which is cheaper?

If you are analyzing massive, uncompressed 4K images, the tile math usually favors Google. However, for optimized, web-ready images (under 1080p), GPT-4o's base cost is highly competitive.

To see the exact cost difference for your specific files, test them securely in our Multimodal Calculator.