OpenAI rolls out ChatGPT Images 2.0 with thinking features

OpenAI began rolling out ChatGPT Images 2.0 on April 21 to all ChatGPT and Codex users, while paid users can generate more advanced outputs.

The company also launched the gpt-image-2 API, with pricing based on output quality and resolution.

OpenAI said the model improves rendering of small text and UI elements, supports scripts including Japanese, Korean, Hindi, and Bengali, and can follow detailed instructions more precisely to produce usable visuals across formats.

Images 2.0 also introduces “thinking” capabilities, allowing the model to search the web for real-time information, generate multiple distinct images from a single prompt, and refine outputs for accuracy and consistency.

Complex generations can take several minutes, and the model has a knowledge cutoff of December 2025.

OpenAI did not disclose the model’s architecture behind the system.

🔗 Source: OpenAI

🧠 Food for thought

Implications, context, and why it matters.

The new image API lands in a crowded market with wide price gaps

OpenAI has priced its image-generation service close to rivals such as Google, though costs swing based on image quality 1.
Creating 10,000 images could cost about $50 with GPT Image 1 Mini in low-quality mode, or about $1,670 with GPT Image 1 at high quality 1.
Google’s Imagen 4 costs $0.02 to $0.06 per image, which makes it cheaper for some workloads 1.
Web search sits behind paid plans such as Plus and Pro, which start at US$20 a month 2.

Sharper AI images are speeding up a cost race with job effects

AI companies are piling on features to keep up with competitors instead of rolling out fresh breakthroughs 2.
At the same time, AI is getting pricier to build because parts such as High Bandwidth Memory (HBM), a type of high-speed memory chip used in AI systems, cost a lot, and companies also need licenses for copyrighted content 3.
That strain could push prices higher for users. OpenAI raised the price of GPT-5.2 by 40% per token versus the earlier model 3.
As these systems take on more tasks, some tech leaders warn about job losses. Anthropic, an AI startup, has warned that AI could erase roughly 50% of entry-level white-collar jobs 4.