Question 1

What is GPT Image 2?

Accepted Answer

GPT Image 2 is the latest state-of-the-art AI image generation model from OpenAI — the successor to gpt-image-1 — benchmarked at the top of the 2026 text-to-image SOTA leaderboard. It handles posters, infographics, realistic photography, typography, product shots, and illustration from a single text prompt, with excellent prompt adherence and text-in-image rendering.

Question 2

How is GPT Image 2 different from Nano Banana 2 and Nano Banana Pro?

Accepted Answer

GPT Image 2 on GPT Image2 studio is routed through Nano Banana 2 (Google's gemini-3.1-flash-image-preview) for the best balance of quality, speed, and cost. Nano Banana Pro (gemini-3-pro-image-preview) is a premium variant with sharper photorealism. Both are newer than Midjourney v7 or Flux 1.1 and are considered the top AI image models of 2026.

Question 3

Can I use these prompts commercially?

Accepted Answer

Yes. Every image rendered on GPT Image2 studio carries a full commercial usage right, included in every pricing tier (Basic / Pro / Max). Teams can purchase multi-seat Pro plans for simultaneous access.

Question 4

How much does one GPT Image 2 image cost?

Accepted Answer

GPT Image 2 (Nano Banana 2) costs 30 credits per image on GPT Image2 studio, which is roughly $0.30 USD. Z Image — our fastest budget model — is 8 credits. See the full per-model pricing table on the pricing page.

Question 5

What happens if my image generation fails?

Accepted Answer

Credits are pre-charged at submission and automatically refunded in full if the image fails — or proportionally if a multi-image batch partially fails. Every debit and refund is recorded in your personal credit ledger visible on the dashboard.

Question 6

How do I write a good GPT Image 2 prompt?

Accepted Answer

Describe the subject, composition, style, color palette, lighting, and aspect ratio. GPT Image 2 excels at long, structured prompts — the 39 showcased below each run 300–800 Chinese characters. Start by copying one as a template, swap the subject, and iterate.

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Templates

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Templates