GPT Image 2
State-of-the-art image generation model
OpenAI's GPT Image 2 is a specific image-generation model release used for generating and editing visual assets, including reference-driven product imagery and storyboard frames.
Pricing
Image-token pricing only. OpenAI separately lists text input at $5.00 per 1M tokens and cached text input at $1.25 per 1M tokens; no text output rate is listed in this product entry.
OpenAI’s API pricing page lists GPT-Image-2 image-token rates: $8.00 per 1M input tokens, $2.00 per 1M cached-input tokens, and $30.00 per 1M output tokens. The model page identifies it as an image-generation model.
Model Intelligence
Recent stories
Meta launched Muse Image in its apps and previewed Muse Video from the same media-generation family. Meta says Muse Image can reason, search, write code, self-refine, and use test-time compute before generating images.
OpenAI docs say Codex image generation counts against general usage and burns included limits 3-5x faster, while users showed app-server runs with 32 or 64 parallel workers. The workflow turns bulk image or research jobs into quota-backed batches, so teams should watch usage spikes closely.
A day after GPT Image 2 launched, developers and tool vendors posted reproducible workflows for floor plans, QR codes, conference posters, typography, and Figma-style asset generation. The follow-up matters because it shows where text-heavy visual generation is already usable, but also that quality depends heavily on mode choice, image size, and surrounding tool scaffolding.
OpenAI released GPT Image 2 in ChatGPT, Codex, and the API with thinking mode and 2K outputs. Early tests and Arena scores suggest it is usable for slides, UI mockups, and dense infographic layouts.