Benchmark of Four Frontier Image Models: GPT-image-2 Leads Overall

Recently, @altryne conducted a benchmark test of four frontier image generation models, drawing significant attention. The test uniformly used a 5,000-word design brief and a single reference image, asking the models to generate 8 pages of content to compare their abilities in complex prompt adherence, reference image restoration, composition, and text generation. The models tested included GPT-image-2, Nano Banana Pro, ByteDance Seedream 5 Pro, and Meta's latest Muse.

Model Performances and Pros/Cons

In the comprehensive comparison, @altryne concluded that GPT-image-2 remains the current king of image generation. It performs the best in text handling and reference image detail restoration, though it has a notable flaw in generating maze-like graphics, sometimes producing unsolvable results. ByteDance's SeeDream Pro v5 demonstrated strong artistic expression and complex prompt adherence, particularly excelling in composition and 3D maze scene generation, but text generation remains its weak point. Meta's new model is overall decent and can handle text and old newspaper styles, but it performs poorly in physical understanding and complex prompts, with scene details prone to positional errors and character age deviations. In contrast, Nano Banana Pro performed the worst regarding reference image adherence, with low visual consistency and large variations between pages, though it still showed some strength in composition.

2026-07-08 ~ 2026-07-09 · 6 related posts