Advancing science and math with GPT-5.2
OpenAI has released GPT-5.2, described as its strongest model for mathematics and science, achieving state-of-the-art results on GPQA Diamond and FrontierMath benchmarks. The announcement highlights practical research applications including solving an open theoretical problem and generating verified mathematical proofs. The post positions GPT-5.2 as a meaningful step toward AI-assisted scientific discovery.
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Introducing GPT-5
OpenAI has released GPT-5, described as its most capable AI system to date. The model claims state-of-the-art performance across a broad range of domains including coding, mathematics, writing, health, and visual perception. The announcement positions GPT-5 as a significant intelligence leap over all prior OpenAI models.
Early experiments in accelerating science with GPT-5
OpenAI has published initial research cases demonstrating GPT-5's application to scientific discovery across mathematics, physics, biology, and computer science. The examples highlight human-AI collaboration in generating mathematical proofs and uncovering novel insights. This represents OpenAI's first public documentation of GPT-5's scientific research capabilities beyond general benchmarks.
Introducing GPT-5.2
OpenAI has released GPT-5.2, described as their most advanced frontier model for professional use, featuring state-of-the-art reasoning, long-context understanding, coding, and vision capabilities. The model is available through ChatGPT and the OpenAI API. It is positioned to support faster and more reliable agentic workflows.
GPT-5 and the future of mathematical discovery
UCLA Professor Ernest Ryu collaborated with GPT-5 to solve an open problem in optimization theory, representing a concrete example of AI-assisted mathematical research. The announcement highlights GPT-5's capability in formal reasoning and scientific discovery beyond standard benchmarks. This is an OpenAI blog post showcasing a real-world research outcome involving a frontier model.
Introducing GPT-5.5
OpenAI has announced GPT-5.5, described as their most capable model to date, with improvements in speed and reasoning targeted at complex tasks including coding, research, and data analysis. The announcement positions GPT-5.5 as a step beyond GPT-5 in OpenAI's model lineage. The blog post is brief and announcement-level, with limited technical detail provided at this stage.
Introducing GPT-5.4
OpenAI has released GPT-5.4, described as their most capable and efficient frontier model targeting professional work. The model features state-of-the-art coding, computer use, and tool search capabilities, along with a 1 million token context window. This represents a significant capability and efficiency advancement over prior GPT-5 series models.
GPT-5.4 released with tool search, computer use, and frontier benchmark performance
OpenAI released GPT-5.4 in Thinking and Pro variants, featuring an expanded context window (up to 1.05M input tokens), native computer use, tool search capabilities, and adjustable reasoning levels. In independent testing by Artificial Analysis, GPT-5.4 Pro at xhigh reasoning achieved state-of-the-art on GDP-Val-AA, BrowseComp, Terminal-Bench-Hard, SWE-Bench-Pro, and MCP Atlas, while trailing Gemini 3.1 Pro Preview on MMMU-Pro and Humanity's Last Exam. Pricing is set at the top of the market ($30/$180 per million input/output tokens for Pro), and the release also powers Codex, OpenAI's competitor to Claude Code. The item is reported via The Batch (tier 2 commentary) and includes additional context on Andrew Ng's chub CLI tool for agent documentation sharing.
Introducing GPT-5 for Developers via OpenAI API
OpenAI is releasing GPT-5 through its API platform, targeting developers with high reasoning performance and new developer controls. The model is positioned as best-in-class on real coding tasks. This marks the public API availability of GPT-5 following its earlier consumer rollout.