ChatGPT's NEW Image Model vs. Nano Banana: 9 Tests + 82 Image Prompts Across Advertising, Board Slides, and Education + My Complete Readout
read at source ↗ natesnewsletter.substack.com
ChatGPT’s NEW Image Model vs. Nano Banana: 9 Tests + 82 Image Prompts Across Advertising, Board Slides, and Education + My Complete Readout
Source: Nate’s Newsletter Date: 2025-12-17 URL: https://natesnewsletter.substack.com/p/grab-the-82-image-prompts-i-use-for
Summary
ChatGPT’s image model is not ready for serious business work — nine head-to-head tests against Google’s Nano Banana Pro across ARR revenue bridges, funnel diagnostics, and Venn diagrams show consistent failure modes. The failure pattern is systematic enough to characterize, not just episodic.
Implications
Vendor positioning thread. OpenAI’s image model underperforms Google’s in business-critical visualization categories — a concrete, documented gap, not a benchmark abstraction. “Not close” is Nate’s assessment, which signals a capability moat for Google in professional document and slide contexts.
Agent product strategy thread. If image generation quality diverges meaningfully by vendor and use case, agents that generate business visuals need vendor-specific routing logic — not a generic “use whatever image model” assumption. The failure mode taxonomy Nate builds is exactly the input needed for that routing.
Watch: Whether OpenAI closes the business-visualization gap in subsequent model updates, and whether the 82-prompt library Nate provides becomes a benchmark suite that gets rerun against future releases.