What is GPT Image 2?
GPT Image 2 is OpenAI's latest image generation model, released April 21, 2026 as part of ChatGPT Images 2.0. It combines reasoning-driven generation (thinking mode) with multilingual in-image text rendering and unified text-to-image plus image-editing. The model supports arbitrary output dimensions (both edges multiples of 16, up to 3840 pixels per edge) and aspect ratios from 3:1 ultrawide to 1:3 ultratall.
How is GPT Image 2 different from DALL-E 3 and GPT Image 1.5?
GPT Image 2 is a major leap over prior OpenAI image models. Unlike DALL-E 3's fixed sizes and separate edit mode, GPT Image 2 supports arbitrary dimensions and does creation plus editing in one model. Unlike GPT Image 1.5's quality-tier parameter, GPT Image 2 reasons about composition via thinking mode. Text rendering is dramatically improved — multilingual, with in-image localization — making it the strongest model for infographics, slides, posters, and UI mockups.
Is GPT Image 2 free to use?
On TwoShot, you get free credits on signup to try GPT Image 2 — no subscription, no credit card, no OpenAI API key. Create images at any supported dimensions, edit photos conversationally, download your results. Pay-as-you-go credits are available for higher volume.
What resolutions and aspect ratios does GPT Image 2 support?
GPT Image 2 supports arbitrary output dimensions where both edges are multiples of 16, up to 3840 pixels on the longest edge, with total pixels between roughly 655,000 and 8.3 million. Aspect ratios range from 3:1 (ultrawide) to 1:3 (ultratall), including 1:1, 16:9, 9:16, 21:9, 4:3, 3:2, 5:4, and more. Up to 2K (2560×1440) is production-stable; above 2K is experimental.
Can GPT Image 2 render text inside images?
Yes — and it's the model's strongest feature. GPT Image 2 produces accurate, legible, multilingual text directly within images. It supports in-image localization (translating text across languages inside the same composition), which is ideal for marketing assets, infographics, posters, slide decks, maps, and UI mockups. This is a substantial upgrade over DALL-E 3 and earlier GPT Image models.
What is thinking mode?
Thinking mode lets GPT Image 2 reason about composition before generating the final image. The model tests layout options, evaluates visual balance, plans spatial relationships between elements, and considers how text and subjects interact — producing better-structured results for complex, layout-heavy briefs. Thinking adds reasoning tokens to the output, so it's best used when composition matters.
Can I edit existing images with GPT Image 2?
Yes. Upload up to 16 reference images and describe what you want changed in natural language — swap backgrounds, remove or add objects, localize text, change lighting, modify expressions, combine elements from multiple references. GPT Image 2 handles both creation and editing in the same model, with multi-turn conversational refinement.
How does GPT Image 2 compare to Nano Banana 2?
GPT Image 2 leads on layout reasoning, multilingual in-image text rendering, and arbitrary output dimensions. Nano Banana 2 (Google's Gemini 3.1 Flash Image) leads on raw pixel count per dollar, explicit 4K support, extreme aspect ratios (8:1, 4:1), and Google Search grounding. Both support text-to-image and image-editing in one unified model. On TwoShot you can use either to compare output side by side.
How does GPT Image 2 compare to Midjourney?
GPT Image 2 leads on prompt adherence, in-image text, layout reasoning, and image editing. Midjourney leads on artistic stylization and painterly aesthetics. If you need accurate text, infographics, product mockups, slides, or photorealism from a detailed prompt, GPT Image 2 is stronger. If you need stylized concept art with a distinctive artistic signature, Midjourney holds an edge on style.
Does GPT Image 2 have an API?
OpenAI exposes GPT Image 2 via the Images API using the gpt-image-2 model ID. Pricing is tokenized — roughly $0.21 per 1024×1024 high-quality image at official rates. On TwoShot you access GPT Image 2 through the creative assistant interface — describe what you want and the AI handles parameter tuning.
What is GPT Image 2 best for?
Infographics, slide decks, marketing posters, social media graphics with accurate text, product mockups, UI and app screen designs, maps and diagrams, manga and comic panels with speech bubbles, multilingual brand assets, and any image where layout and text matter as much as the imagery. For purely stylized artwork, dedicated artistic models may still win; for everything else, GPT Image 2 is the strongest all-round choice in April 2026.