This comparison is unusual. Unlike most model matchups that pit fundamentally different architectures against each other, Gemini 3 Pro Image and Nano Banana Pro access the same underlying model—Google's flagship multimodal AI. The difference lies entirely in how you access it: directly through Google's API, or through FAL's wrapper service.
Gemini 3 Pro Image represents Google's most advanced image generation capability, built on their multimodal architecture that genuinely understands prompts at a semantic level. With an ELO rating of approximately 1235, it ranks among the very top of global preference testing. The model excels at interpreting abstract concepts, emotional nuances, and complex narrative relationships—capabilities that emerge from its language model foundation.
Nano Banana Pro provides access to this same Gemini 3 Pro model through FAL's infrastructure. The "Nano Banana" branding reflects FAL's naming convention rather than a different model. In practice, both endpoints deliver the same flagship quality—the same semantic understanding, the same photorealistic rendering, the same text accuracy.
So why compare them? The roughly 12% price difference and potential differences in availability, latency, and API behavior may matter for certain workflows. For most users, either option delivers Google's best—but the details of integration and pricing could influence your choice.
Note: Both models access the same Gemini 3 Pro foundation. Visual differences in generated images reflect the inherent randomness of generation rather than model capability differences. Choose based on pricing, API preferences, and workflow integration needs.