GPT Image 2 vs Nano Banana and Flux 2: the same 6 prompts
We ran GPT Image 2 and its two closest rivals through six fixed prompts inside Krater on 27 Sep 2026. 1:1, 1024 px, one image per prompt, default settings, no prompt tuning, first output kept. Every output below is the first result, unedited.
GPT Image 2: 14 credits per image, 39.1 s median, 5/6 prompts passed
Nano Banana: 10 credits per image, 9.2 s median, 6/6 prompts passed
Flux 2: 4 credits per image, 7.3 s median, 6/6 prompts passed
Product photo
Tests: photorealism, materials, lighting
Studio product photograph of a matte black ceramic coffee mug with a walnut wood lid, on a light grey concrete surface, soft window light from the left, shallow depth of field, a few coffee beans scattered in the foreground, no text, no logo.
Candid photograph of a woman in her sixties with short grey hair laughing while holding a yellow bicycle helmet in both hands, standing on a cobblestone street in Copenhagen at golden hour, 85mm lens, natural skin texture, both hands fully visible.
Minimalist concert poster. Large headline text reading "NORTH SEA JAZZ" at the top, smaller text "Rotterdam 10 to 12 July" at the bottom, a single saxophone silhouette in the middle, mustard yellow background, navy blue ink, risograph print style.
Children's book illustration of a small red fox reading a map under an oversized green umbrella in the rain, forest in the background, watercolor and ink, warm palette, whimsical, storybook style.
Flat lay photograph on a white table: exactly three green apples in a row on the left, one blue ceramic bowl on the right containing exactly two lemons, a folded red napkin above the bowl, shot from directly above, even lighting.
Clean infographic showing a simple three-step process, horizontal, with three numbered circles connected by arrows. Labels under the circles read "Plan", "Build" and "Launch". Flat vector style, white background, teal and charcoal colours, sans-serif text.
Pass, partial and fail are about following the prompt (text, counts, layout, constraints), not about taste. Same prompt, same settings, no model-specific tuning. Read the full 10-model test
Features
Next-Gen Quality
OpenAI's most capable image model to date
Flawless Typography
Crisp, readable text rendering at any size
Native 4K & Alpha
True 3840×2160 with transparent PNG support
Quality Control
Pick low, medium, or high to balance speed and credits
Use cases
Hero Visuals
Square 1024×1024 hero shots for product pages 1:1
Banners & Ads
Cinematic 1920×1080 and 16:9 marketing assets 16:9
4K Print
3840×2160 outputs ready for print and large displays 4K
Logos & UI
Transparent PNGs with sharp edges, ready to drop in PNG
Stats
4K Native Resolution
PNG Transparent Output
~39s Avg Generation
Loved by creators
GPT Image 2's typography is unreal. My posters finally look print-ready straight from a prompt. Chris D., Creative Director
Native 4K output saved my upscale workflow. Krater is the easiest way to use it. Beth A., Marketing Manager
Same price as ChatGPT Plus, but I get GPT Image 2 plus 500+ other models in one place. Walter H., Freelancer
Comparison
DALL·E 3 (ChatGPT): $20/mo; ChatGPT Plus required
Midjourney: $30/mo; Discord required
Adobe Firefly: $23/mo; No 4K, no alpha
Frequently Asked Questions
What is GPT Image 2?
GPT Image 2 is OpenAI's newest image generation model, with native 4K resolution, sharper typography, and transparent PNG support.
How is it different from GPT Image 1.5?
GPT Image 2 brings higher native resolution, better text rendering, and an explicit quality control (low / medium / high) so you choose speed versus detail.
How do I use it?
Type /image, pick GPT Image 2, choose your size and quality.
Cost?
Plans from $20/mo. Credit cost scales with size and quality.