Pilio

How is GPT Image 2 billed?

GPT Image 2 runs in credit-based mode on Pilio. It is useful for testing prompts, layouts, text rendering, and reference edits, while keeping production and client work on the same paid generation path.

What is GPT Image 2? Is it the same model behind image generation in ChatGPT?

GPT Image 2 (gpt-image-2) is OpenAI's next-generation native image model, released in April 2026, and the engine behind the new ChatGPT image generator. It directly inherits OpenAI's prompt understanding and instruction-following strengths, and is built for top-tier multi-constraint reasoning, multilingual on-image typography, and long-form design delivery.

How is GPT Image 2 different from GPT Image 1?

Compared with GPT Image 1 (gpt-image-1), GPT Image 2 (gpt-image-2) is much stronger at multi-constraint prompt following, 48+ language text rendering, photoreal materials and lighting, and long-form layouts such as posters, packaging, comic pages, and editorial spreads. In many professional design scenarios, it can deliver a finished result in one pass instead of repeated iteration.

Which resolutions, aspect ratios, and output formats are supported? 4K / transparent background?

It supports native output from 1K to 4K (longest side ≤3840, total pixels ≤8.29M) with 7 preset ratios (1:1, 3:2, 2:3, 16:9, 9:16, 4:3, 21:9) plus custom sizes. Output is delivered as WebP. Note: GPT Image 2 does not currently support transparent backgrounds — if you need them, use a background remover / image editor downstream.

How should I choose between GPT Image 2, DALL-E 3, Midjourney, and Nano Banana 2?

Choose GPT Image 2 for precise typography, multilingual posters, packaging, and comic pages. Choose Midjourney for looser artistic exploration or photoreal styling experiments. Choose Nano Banana 2 for multi-reference composition, web-assisted image search, and rapid iterative exploration. DALL-E 3 is OpenAI's previous ChatGPT image model and has already been superseded by the GPT Image series.

How does text rendering compare to Midjourney, Ideogram, and FLUX?

GPT Image 2 supports 48+ languages and can accurately render multi-line headlines, dense paragraphs, logos, and calligraphic text. Kerning, spelling, and layout are stronger than Midjourney, Ideogram, and FLUX, which makes it a better fit for design work that depends on high-quality typography.

Can it handle graphic design, UI design, comic storyboards, and photorealistic portraits?

Yes. GPT Image 2 is strong at print ads, packaging, UI mockups, comic storyboards, photoreal portraits, and product rendering. It supports complex layouts and multilingual mixed typography, which makes it suitable for professional design workflows.

How well does it follow prompts? Does it support mixed-language typesetting?

Yes. GPT Image 2 has very strong prompt understanding and can faithfully reproduce detailed descriptions and fine-grained requirements. Mixed-language typesetting is supported, so it works well for international branding, education, and multi-market campaigns.