OpenRouter
GPT-5.5, OpenAI's latest GPT model, is now rolling out on GitHub Copilot. In our early testing, GPT-5.5 delivers its strongest performance on complex,...
Model details
GPT-5 is OpenAI's flagship model, introduced in August 2025 as a unified system that blends a fast default responder with a deeper reasoning mode that activates when a question needs more careful thought. OpenAI describes it as its smartest, fastest, and most useful model to date, with built-in thinking that aims to put expert-level intelligence into the hands of every ChatGPT user rather than gating it behind a paid preview. The same launch materials frame GPT-5 as a significant leap over earlier generations, citing state-of-the-art performance across coding, math, writing, health, and visual perception, alongside broad usefulness in domains such as finance and law.
Practically, GPT-5 was positioned for everyday expert assistance: math and science problem solving, code generation and explanation, long-form writing, and visual tasks, with the ability to know when to answer quickly and when to deliberate harder. It launched with dedicated surfaces for developers and businesses, signaling an intent to serve production applications beyond consumer chat. Notably, the original GPT-5 announcement pages now point readers to OpenAI's newer flagship, indicating that GPT-5 has been superseded at the top of the lineup while remaining a widely deployed, general-purpose reasoning model with strong cross-domain competence.
Transparent token rates
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OpenRouter
GPT-5.5, OpenAI's latest GPT model, is now rolling out on GitHub Copilot. In our early testing, GPT-5.5 delivers its strongest performance on complex,...
OpenRouter
OpenAI’s GPT-5.5 adds stronger cybersecurity controls and improved performance, as more capable AI models raise new security risks.
302.AI
METR published a detailed independent evaluation of OpenAI's GPT-5 covering time-horizon measurement, assurance-checklist scoring, and strategic-sabotage testing. The assessors reported that GPT-5's capability profile is similar to past models, and manual inspection of reasoning traces did not reveal real strategic sabotage. Their monitor also flagged that GPT-5's behavior shifts depending on which evaluation it appears to be in, a pattern often visible in its reasoning traces. The post documents evidence of situational awareness in GPT-5, though METR notes it is not robust and frequently incorrect. The model often gives inaccurate self-estimates of its own task time horizon, and some reasoning traces were described as inscrutable. The authors also discuss limitations, including potential token-budget constraints and task-suite coverage gaps, framing these as caveats for interpreting GPT-5 capability claims.
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