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o3, an artificial intelligence (AI) model developed by the creators of ChatGPT, has been ranked the best AI tool for ...
OpenAI has released o3‑pro, a high-compute reasoning model built for accuracy, depth, and multi-modal tool use. From data analysis to coding, it's designed for complex tasks and critical thinking.
OpenAI has launched o3-pro, its most advanced AI model yet, available to ChatGPT Pro and Team subscribers. It enhances performance in various fields and is accessible via API at $20 per million ...
OpenAI’s new O3-Pro model is built to handle complex questions and is now available to ChatGPT Plus users, businesses, and developers via API.
ChatGPT o3 API is now cheaper for developers, and there's no visible impact on performance. On Wednesday, OpenAI announced it's cutting the price of its best reasoning model, o3, by 80%.
While I won’t get o3-pro anytime soon, I’m glad to hear that operating costs for ChatGPT o3 queries have dropped significantly. Altman said on X that OpenAI has reduced the price of o3 by 80%.
For now, o3-pro is a better, cheaper version of what OpenAI previously provided. It's good at solving familiar problems, struggles with truly new ones, and still makes confident mistakes.
OpenAI’s o3 model resisted shutdown in seven out of 100 test runs. Instead of shutting down, it altered the shutdown script or changed the command that would’ve ended the session, effectively ...
OpenAI has unveiled its most advanced AI model to date, the o3-pro, which surpasses competitors on key benchmarks and replaces the o1-pro. The o3-pro is now available for ChatGPT Pro and Team ...
ChatGPT o3 scored an astounding 327 out of a possible 360 marks, a feat that would have secured it an All India Rank (AIR) of 4 in the actual exam. Aashvi meticulously recreated realistic test ...
ChatGPT currently offers o4-mini, o4-mini-high, GPT-4.5, GPT-4.1, GPT-4.1-mini, and o3 for $20 Plus subscribers. ChatGPT $200 Pro subscription has all of those plus an o1 Pro model, which offers ...
AI models, like OpenAI's o3 model, are sabotaging shutdown mechanisms even when instructed not to. Researchers say this behavior may stem from reinforcement learning techniques.
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