gpt-image-2-bf0a302f·4 events·first seen Aliases: GPT-Image-2
Google released Nano Banana 2 Lite (formally Gemini 3.1 Flash Lite Image), its fastest and lowest-cost image generation model, alongside API availability of Gemini Omni Flash, a multimodal video model producing 720p clips with synchronized audio. The two models are designed to work together in a pipeline: generate images cheaply with Nano Banana 2 Lite, then animate the best result via Gemini Omni Flash. Gemini Omni Flash leads Arena.ai's video generation Elo board at 1,527, while Nano Banana 2 Lite ranks fifth on the image board; pricing is $0.034 per image and $0.10 per second of video respectively.
OpenAI removed DALL-E 2 and DALL-E 3 model snapshots from its API on May 12, 2026, directing developers to migrate to gpt-image-2, gpt-image-1, or gpt-image-1-mini. The Realtime API Beta was also removed on the same date, with users directed to migrate to the released Realtime API. These are hard deprecations, not soft warnings, meaning existing integrations using the old endpoints will break.
Researchers introduce a new benchmark of 8,602 images across six categories (commercial posters, infographics, academic posters, receipts, tables, UI screenshots) specifically for detecting AI-generated text-rich images produced by OpenAI's GPT-Image-2. Five zero-shot detectors are evaluated, revealing highly domain-dependent performance and severe sensitivity to JPEG compression even in the strongest conventional detector. A multimodal VLM is also explored as a detector, showing promise but limitations on structured formats. The work highlights a gap in existing benchmarks that focus on object-centric rather than text-layout-centric images.
Latent Space commentary piece reflecting on the continued explosion of GPT-Image-2 usage and its broader implications for AI capabilities. The piece frames recent image generation advances as significant steps on a trajectory toward AGI. Published as part of the AINews series, this is a tier-2 commentary source synthesizing recent developments around GPT-Image-2.