GPT-5

OpenAI released GPT-5 on August 7, 2025. The most consequential thing about it was structural rather than numerical. GPT-5 was not a single model but a unified system: a fast, efficient model handling most queries, a deeper reasoning model called GPT-5 thinking for harder problems, and a real-time router deciding between them based on the complexity of the conversation, the tools required, and the user's stated intent.

This resolved a usability problem that had been quietly worsening since reasoning models arrived. By mid-2025 the major providers each offered a menu of models trading speed against depth, and choosing correctly required users to estimate the difficulty of their own question before asking it. Most people chose badly, either paying for reasoning on trivial queries or receiving shallow answers to hard ones. Routing moved that judgment inside the system.

OpenAI reported state-of-the-art results across coding, mathematics, writing, health, and visual perception, and made GPT-5 available to all ChatGPT users rather than gating it behind a paid tier. Plus subscribers received higher usage limits and Pro subscribers gained access to GPT-5 pro, a variant running extended reasoning for more thorough answers. The model shipped simultaneously on the API platform, positioned for coding and agentic work.

GPT-5 marked the point where inference-time compute stopped being an exposed setting and became an internal allocation decision. Since o1, the field had understood that letting a model think longer improved hard-problem accuracy, but that capability had been surfaced as a choice for the user to make. Routing turned a dial into a policy. It also changed the economics quietly, because a system that decides how much computation each request deserves can serve a free tier at frontier quality without spending frontier compute on every question.

The broader significance was in what it signalled about product maturity. Earlier releases had been announcements of raw capability, and the surrounding interface was left to developers. GPT-5 was an argument that the packaging of intelligence, deciding what to spend on which question, was itself becoming a competitive surface. Every major provider shipped some form of automatic reasoning allocation within the following year, and the visible model menu began disappearing across the industry.