Flux 1 Schnell from Black Forest Labs represents the entry point for AI image generation. "Schnell" (German for "fast") describes its purpose—distilled to 12 billion parameters and optimized for sub-second inference. As our most affordable model, it's designed for volume: rapid iteration, concept exploration, and workflows where speed and cost matter more than maximum fidelity.
Nano Banana Pro represents the opposite end of the spectrum. Despite the playful name, this is Google's Gemini 3 Pro image model made accessible through FAL's infrastructure. Priced at roughly 45x more than Schnell, it sits alongside models like GPT Image 1.5 High at the premium tier—and delivers accordingly. ELO rating of ~1222 places it among the top 3 models in public benchmarks.
The 172-point ELO gap between these models (1050 vs 1222) is enormous—comparable to the difference between a club player and a grandmaster in chess. This translates to visible differences in photorealistic detail, coherent composition, lighting physics, and the subtle qualities that make images feel "real" rather than "generated."
This isn't a fair fight in quality terms—Nano Banana Pro will win nearly every comparison. The real question is: when does the 45x price premium actually matter? For many projects, the answer might be "rarely" or "only for finals."
Note: Nano Banana Pro offers 1K and 2K resolution options. The 2K mode generates significantly higher detail images but may take longer. For most use cases, 1K provides excellent quality with faster turnaround.