Which AI Model
Should You Choose?

Image generation models differ primarily in their approach to quality, speed, and control. Nano Banana 2, built on Google's Gemini 3.1 Flash architecture, prioritizes rapid generation with built-in web search capabilities. This makes it suitable for content creators who need quick iterations and real-world context in their outputs. The model supports resolutions up to 4K and offers 11 aspect ratios, covering most common use cases from social media to print materials.

Flux 2 Pro from Black Forest Labs targets users who require maximum output quality. The model generates images with exceptional detail retention and consistency, particularly effective for product photography and commercial applications. Its safety tolerance system (levels 1-5) provides content filtering appropriate to different contexts, from strict commercial use to more permissive creative work.

For those who need precise control over the generation process, Flux 2 Flex offers adjustable guidance scale (0-20) and inference steps (1-50). These parameters directly influence how closely the output adheres to the prompt versus allowing creative interpretation. Higher guidance values produce more literal interpretations, while lower values give the model more creative freedom. The prompt expansion feature automatically enhances brief descriptions into detailed generation instructions.

GPT Image 1.5 from OpenAI integrates naturally with GPT-based workflows and supports transparent backgrounds, a practical requirement for composite imagery and design work. Seedream v4.5, developed by ByteDance, produces distinctly artistic outputs with a creative style that differs from photorealistic models, making it suitable for conceptual art and experimental projects.

When selecting a model, consider these factors in order of typical importance:

The comparison sections below show actual outputs from each model using the same or similar prompts, allowing you to evaluate the visual differences firsthand. Use these examples as a reference point when deciding which model aligns with your project requirements.