SuperAPI AI Directory

GPT Image 1.5

GPT Image 1.5 is OpenAI's latest flagship image generation model, released on December 16, 2025. It is based on the GPT-5.2 multimodal architecture, combining a Transformer with a diffusion model. It supports text-to-image and image editing, with generation speed improved by up to 4x; complex prompts can be completed within 2 minutes, while simple prompts take only seconds. The model offers precise local editing capabilities, allowing only specified elements to be modified while preserving lighting, composition, logos, and facial features; its text rendering capability stands out, capable of generating clear text in posters, menus, and infographics; it supports input of up to 16 reference images and has built-in C2PA content provenance. API pricing is 20% lower than GPT Image 1. Users can access it through ChatGPT, the OpenAI API, or this platform; registration grants 2 free generation credits, with no credit card required.

Open website

About this tool

GPT Image 1.5 is OpenAI's latest flagship image generation model, with an official release date of December 16, 2025. It is described as the most capable general text-to-image model currently available, adopting a native multimodal architecture that combines a Transformer backbone with diffusion-based image generation, enabling unified processing of text and image inputs.

Main capabilities

  • Generation speed: up to 4x faster than previous versions, complex prompts can be completed within 2 minutes, and simple prompts take only seconds, making it suitable for rapid iteration.
  • Precise editing: only the parts specified by the user can be modified while preserving lighting, composition, logos, and facial features, without regenerating the entire image.
  • Text rendering: capable of generating clear, readable, and stylized text, suitable for posters, menus, infographics, and marketing materials, with better handling of dense, smaller text than competitors.
  • Logo and face preservation: maintains consistency of brand logos and human faces across multiple edits, suitable for marketing campaigns, e-commerce product catalogs, and character design.
  • Conversational editing: edit images using natural language instructions, such as "change the lighting to sunset" or "make the jacket blue," without layers, masks, or Photoshop skills.
  • Multi-image input: upload up to 16 reference images for editing, style transfer, and composition guidance.
  • C2PA provenance: built-in C2PA metadata content authentication to verify AI-generated images.
  • API cost: image input and output pricing is 20% lower than GPT Image 1, with quality and low-cost parameters to balance cost and results.

Performance data Official materials state that GPT Image 1.5 improves complex prompt adherence accuracy by 30%, improves text-to-image generation by 147 points compared with the previous generation, and improves image editing performance by 245 points. On the LMArena leaderboard, it scores 1264 for text-to-image and 1409 for image editing, ranking first in both.

How to use Users can access GPT Image 1.5 through ChatGPT, the OpenAI API, or this platform. Registering on this platform allows one-click sign-in with Google and immediately provides 2 free image generation credits, with no credit card required. The workflow is: register and obtain free credits; describe the creative need with detailed prompts, and upload reference images for editing or style transfer; iteratively adjust through natural language conversational editing until a satisfactory result is obtained.

Use cases Suitable for everyone from individual creators to enterprise brands, including marketing campaigns, e-commerce product catalogs, character design, posters, menus, infographics, and other scenarios requiringprofessional visual output.

Limitations and notes Official materials mention "current limitations" but do not elaborate on specific details, so the specific limitations are not yet provided. Regarding pricing beyond the free credits, resolution and quality details, commercial use licensing, watermark policy, API pricing details, etc., the materials list them only in the form of FAQ questions without giving specific answers, and they are not yet provided.