GPT Image 2
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.
Key Features of GPT Image 2
Production-ready AI image generation with reasoning, precision, and multilingual support
Core Features Overview
Native Reasoning Engine
GPT Image 2's Thinking Mode adds a reasoning pass before image generation. It can search the web for current references, analyze uploaded PDFs and brand guidelines, plan layout and composition, and double-check outputs before rendering. This is ideal for complex prompts requiring precise brand compliance, accurate current-events visuals, or multi-step creative direction.
Product packaging mockup with accurate nutritional labels, barcodes, and multilingual ingredients list
Complex text-heavy layout with precise rendering
Infographic showing global AI adoption trends with accurate data labels and chart text
Data visualization with accurate typography
Industry-Leading Text Accuracy
Previous AI image models treated text as texture, producing garbled output. GPT Image 2 handles typography, kerning, hierarchy, and spelling with unprecedented accuracy. Headlines stay sharp at full resolution, small captions remain legible, and SKUs, dates, prices, and labels follow prompts faithfully. Tested on menu cards, conference badges, product packaging, and editorial layouts.
Japanese restaurant menu with accurate Japanese characters, prices, and dish descriptions
Japanese text rendering with mixed Latin characters
Conference badge template with names, roles, and company logos
Small text legibility at production scale
Multi-Reference Image System
GPT Image 2 accepts up to 16 reference images in a single request, automatically processing them at high fidelity without requiring separate settings. This eliminates character drift, missing product details, and inconsistent style across generations. Perfect for e-commerce product catalogs, branded content series, and character design workflows requiring strict visual consistency.
E-commerce product hero shots maintaining consistent lighting, angle, and background
Product consistency across multiple references
Character sheet with front, side, and action poses in identical style
Character consistency with 16 reference inputs
Global Multilingual Support
GPT Image 2 is the first AI image model usable for production work outside the Latin alphabet. OpenAI specifically improved text rendering for Japanese, Korean, Chinese, Hindi, and Bengali scripts. Mixed-script handling allows creating posters with Latin product names and Japanese descriptions, or menus with Arabic script and Western prices — all in a single generation.
Social media creative with mixed Korean and English text for global campaign
Mixed Korean-English typography
Hindi movie poster with accurate Devanagari text and Latin credits
Devanagari script rendering with precision
GPT Image 2 FAQ
GPT Image 2 FAQ
01What is GPT Image 2 and how is it different from DALL-E 3?
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.
02What is Thinking Mode in GPT Image 2?
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.
03How accurate is text rendering in GPT Image 2?
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.
04What languages does GPT Image 2 support for text rendering?
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.
05How many reference images can I use?
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.
06What resolution and aspect ratios are supported?
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.
07What pricing does GPT Image 2 use?
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'.
08Can GPT Image 2 generate functional QR codes?
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.
09Does GPT Image 2 support image editing?
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.
010Who should use GPT Image 2?
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.
What Creators Say About GPT Image 2
“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.”
Sarah Chen
Brand Designer
“Thinking Mode is a game-changer for brand work. We upload our brand guidelines PDF and GPT Image 2 applies them accurately across every asset. No more manual checking.”
Marcus Rodriguez
Marketing Director
“The Japanese text rendering is finally usable. I can create social posts with mixed English and Japanese that look like they were designed by a human typographer.”
Yuki Tanaka
Content Creator
“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%.”
Alex Kim
E-commerce Operator
