GPT-Image-2.5 Sunburst

Headlines · 2

1. Oct 18
   OpenAI's three Aurora image-model references surface in API and Arena blind tests

   TestingCatalog reported that three model references — aurora-red-alpha, aurora-green-alpha and aurora-blue-alpha — briefly appeared in OpenAI's API this weekend and were pulled shortly after, which the outlet read as an accidental rollout. Models with the same names then showed up in blind Arena tests producing images; reviewer Lumina speculated they are GPT-Image-3 and said the red variant was faster but lower quality while green was slower and looked better, without publishing timings or full comparisons. 品玩, citing orcaroute and CellCog, said the three identifiers were created within 97 seconds with the owner field set to system, and OpenAI has not disclosed their identity, documentation or pricing.

   TestingCatalog · 🔥 0
2. Oct 7
   New RISEBench++ benchmark: reasoning-informed visual editing still stumps top models

   An arXiv paper introduces RISEBench++, a benchmark for reasoning-informed visual editing that spans six reasoning dimensions — temporal, causal, spatial, logical, counterfactual and hybrid — decomposed into 12 subcategories and 65 fine-grained task types, with 1,000 human-annotated test cases released in English and Chinese. The authors also present RISE-Agent, a training-free agentic framework, and evaluate 58 visual editing approaches (34 open-source models, 19 closed-source models and 5 agentic methods); even the strongest, GPT-Image-2.5 Sunburst, reaches only 56.6% accuracy.

   Hugging Face · Papers · 🔥 0

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