OpenAI's GPT-5 has demonstrated groundbreaking capabilities as a multimodal generalist reasoner, particularly in clinical decision-making and advanced problem-solving benchmarks. The model, including its variants GPT-5-mini and GPT-5-nano, has been evaluated for zero-shot chain-of-thought reasoning across textual and visual inputs. GPT-5 achieved historic success on the FrontierMath benchmark by solving multiple Tier 4 problems, including two that had never been solved by any AI before, one authored by a judge of the FrontierMath Symposium. In medical reasoning, GPT-5 showed near-perfect accuracy on a high-quality ophthalmology question-answering dataset and outperformed human experts on the MedXpertQA multimodal benchmark by 24.23% in reasoning and 29.40% in understanding, and by 15.22% and 9.40% respectively on the text-only version of the benchmark. Additionally, GPT-5 leads the Elimination Game benchmark with a score of 4.86, ahead of competitors such as Grok 3 Mini Beta and Claude Opus 4.1. These results highlight GPT-5's advanced reasoning and understanding capabilities across multiple domains, including mathematics, medicine, and speech API implementation.
Ultimate GPT-5 vs Sonnet-4 showdown! 🥳 This time we again ask models to implement something they know nothing about: gemini multi speaker speech API we rate the models on: does the script work? are imports accurate? is speech API implemented correctly? is model name accurate? https://t.co/GVjIsEoS7L
This is HUGE. This can completely transform medicine 👀 GPT-5 (full) beats HUMAN EXPERTS on MedXpertQA multimodal by 24.23% in REASONING and 29.40% in UNDERSTANDING. On MedXpertQA text by 15.22% in reasoning and 9.40% in understanding MedXpertQA is a cutting edge benchmark https://t.co/0p5qCZgNEs https://t.co/Uj81VqKQDu
GPT-5 thinking surpasses human medical Professionals in this particular medical reasoning benchmark. https://t.co/VMAVihh0tw