🍌
Limited50% OFF
OpenAI's most advanced image generation model with native Thinking Mode, 95%+ text rendering accuracy, web search during generation, and support for up to 16 reference images. Generate production-ready visuals with precise typography, consistent characters, and multilingual text support.
GPT Image 2 (ChatGPT Images 2.0) is OpenAI's latest image model, launched in April 2026 as the successor to GPT-4o image generation. It is the first OpenAI image model with built-in reasoning, achieving over 95% text rendering accuracy across Latin and non-Latin scripts. The model supports 2K resolution output, continuous aspect ratios from 3:1 to 1:3, and generates up to 8 consistent images from a single prompt. With Thinking Mode, it can search the web during generation, analyze uploaded brand guidelines, and self-verify outputs before rendering.
First OpenAI image model with built-in reasoning. Searches the web, analyzes uploaded materials like PDFs and brand guidelines, reasons through layout before drawing, and self-verifies outputs before returning.
Breakthrough text rendering that treats typography as a first-class element. Sharp headlines, legible small captions, accurate SKUs and prices — no more garbled text in your generations.
Native-quality text rendering in Japanese, Korean, Chinese, Hindi, Bengali, and all Latin scripts. Mixed-script handling for global marketing materials, menus, and international creatives.
Upload up to 16 reference images for character consistency, product detail retention, multi-element fusion, and style alignment across all generated outputs.
Output resolution up to 2048x2048 (2K) with continuous aspect ratio support from 3:1 ultra-wide to 1:3 ultra-tall. No more fixed presets — specify any ratio you need.
Generate up to 8 coherent images from a single prompt with consistent characters, objects, and lighting maintained across the full set — ideal for storyboards, variations, and batch production.
GPT Image 2 FAQ
GPT Image 2 (ChatGPT Images 2.0) is OpenAI's latest image generation model released in April 2026. Unlike DALL-E 3, it features native Thinking Mode with reasoning, 95%+ text rendering accuracy, web search during generation, up to 16 reference images, 2K resolution output, and multilingual text support for Japanese, Korean, Chinese, Hindi, and Bengali scripts.
Thinking Mode adds a reasoning pass before image generation. The model can search the web for current references, analyze uploaded materials like PDFs and brand guidelines, plan layout and composition, then self-verify outputs before rendering. This takes up to 2 minutes for complex prompts but produces significantly better results for brand-compliant, information-rich, or multi-step creative requests.
GPT Image 2 achieves over 95% text rendering accuracy across all supported scripts, compared to roughly 60-70% in previous models. Headlines, small captions, SKUs, prices, and labels all follow prompts accurately. It is the first AI image model where text rendering is reliable enough for production use.
GPT Image 2 provides native-quality text rendering in Japanese, Korean, Chinese (Simplified and Traditional), Hindi, Bengali, and all Latin-based scripts including English, French, German, Spanish, and more. It handles mixed-script content in a single generation.
GPT Image 2 supports up to 16 reference images in a single request. References are automatically processed at high fidelity without needing to tune separate settings. This helps maintain character consistency, product details, and visual style across all generated outputs.
GPT Image 2 supports output resolution up to 2048x2048 (2K), with continuous aspect ratios from 3:1 (ultra-wide) to 1:3 (ultra-tall). Unlike previous models with fixed presets, you can specify any ratio within this range. It also supports transparent background exports for direct pipeline integration.
GPT Image 2 uses token-based pricing. At standard 1024x1024 resolution, costs range from approximately $0.006 per image (low quality) to $0.211 per image (high quality). Input tokens cost $8 per million and output tokens cost $30 per million. The model ID is 'gpt-image-2' with an auto-update alias 'chatgpt-image-latest'.
Yes. GPT Image 2's Thinking Mode can compute QR code encoding before rendering, producing functional QR codes that scan with any phone camera. You can style them with brand colors, embed logos in the center, and place them inside fully designed posters — collapsing three steps into one prompt.
Yes. You can upload existing images and modify them through natural language prompts in the same chat. This includes style transfer, element replacement, detail enhancement, layout updates, and multi-image blending. Both text-to-image and image-to-image workflows are supported in a single endpoint.
GPT Image 2 is ideal for marketing teams creating banner ads and social graphics, e-commerce sellers producing product catalogs, designers working on infographics and presentations, content creators making thumbnails and posters, manga artists needing consistent characters with readable speech bubbles, and anyone needing production-quality AI images with accurate text.
“The text rendering alone is worth the upgrade. I can finally generate product mockups with accurate labels and pricing in one shot instead of adding text in Photoshop afterward.”
“Using 16 reference images for product photography means every item in our catalog has consistent lighting and styling. We've cut photoshoot costs by 80%.”
“The text rendering alone is worth the upgrade. I can finally generate product mockups with accurate labels and pricing in one shot instead of adding text in Photoshop afterward.”
“Using 16 reference images for product photography means every item in our catalog has consistent lighting and styling. We've cut photoshoot costs by 80%.”
“The text rendering alone is worth the upgrade. I can finally generate product mockups with accurate labels and pricing in one shot instead of adding text in Photoshop afterward.”
“Using 16 reference images for product photography means every item in our catalog has consistent lighting and styling. We've cut photoshoot costs by 80%.”
“The text rendering alone is worth the upgrade. I can finally generate product mockups with accurate labels and pricing in one shot instead of adding text in Photoshop afterward.”
“Using 16 reference images for product photography means every item in our catalog has consistent lighting and styling. We've cut photoshoot costs by 80%.”
Experience GPT Image 2 — the most advanced AI image generator from OpenAI, free to try
Drag & drop reference images or browse files
Supported Formats: JPG, PNG, WEBP • MAX 10MB
