192 evaluations across 6 categories
Benchmark V1 verdicts are produced by VLM judges and can contain mistakes. Treat PASS/FAIL labels as machine-assisted assessments, and inspect the images yourself. Learn more about the methodology.
Source-backed model context, size, cost, and request settings for this ImageBench V1 run.
Nano Banana 2 is Google's fast Gemini image generation and editing model, exposed here through fal, with emphasis on high-quality image creation, grounded world knowledge, and practical generation speed.
GPT Image 2.5 Flare is one of two API variants OpenAI released alongside ChatGPT Images 2.5 (September 2026), positioned as OpenAI's fastest model for high-quality, everyday image generation.
On ImageBench V1 (192 prompts, 6 categories), Google Nano Banana 2 scores 74.9 overall with a 77.1% task pass rate, while GPT Image 2.5 Flare scores 81.5 overall with a 86.5% pass rate. The biggest difference is truthfulness: Google Nano Banana 2 passes 55.6% of those prompts vs 85.2% for GPT Image 2.5 Flare. Google Nano Banana 2 is an API model ($0.08 / image at 1K); GPT Image 2.5 Flare is an API model (token-based).
GPT Image 2.5 Flare is better overall on ImageBench V1, scoring 81.5 vs 74.9. Google Nano Banana 2 is strongest at graphic design (100%). GPT Image 2.5 Flare is strongest at text rendering (100%).
Yes — on the Truthfulness category of ImageBench V1, Google Nano Banana 2 passes 55.6% of prompts and GPT Image 2.5 Flare passes 85.2%. That is the largest per-category difference between Google Nano Banana 2 and GPT Image 2.5 Flare.
The ImageBench gallery shows Google Nano Banana 2 and GPT Image 2.5 Flare outputs for the same 192 prompts side by side, filterable by category and difficulty — the fastest way to judge them with your own eyes instead of trusting aggregate scores. Open them in the gallery.