"GPT-5.2 is a new model that is notably focused on knowledge work, but also includes improvements for coding, spreadsheets, presentations, and visual recognition. The new version is available to paying ChatGPT users starting today. OpenAI's announcement probably comes sooner than the company had previously suggested. The company recently declared a "code red" due to Google Gemini's stunning performance compared to GPT-5 and 5.1. GPT-5.2 aims to turn the tide with a series of improvements focused primarily on business applications."
"The new model comes in three variants, as was the case with GPT-5.1. GPT-5.2 Instant focuses on quick daily tasks. The Thinking variant is intended for more complex tasks such as extensive coding sessions and spreadsheet models. According to OpenAI, the Pro version offers the highest quality for difficult problems that require extra computing power. Despite the hefty price tag of $200 per month, this option would be unprofitable for the company behind ChatGPT, mainly because such high-end users make full use of their subscription."
"On GDPval, an evaluation of knowledge work across 44 professions, GPT-5.2 Thinking scores 70.9 percent. This means that in more than two-thirds of cases, the model performs equally well or better than industry experts. Unfortunately, we cannot compare this with the latest models from Google and Anthropic, as GDPval is a proprietary benchmark from OpenAI. For software engineering, the model scores 55.6 percent on SWE-Bench Pro, a test that covers four programming languages."
AI competition shifted as Google overtakes OpenAI, prompting a rapid response. GPT-5.2 targets knowledge work with improved coding, spreadsheet, presentation, and vision capabilities and is available to paying ChatGPT users. The model ships in three variants: Instant for quick tasks; Thinking for complex coding and spreadsheet modeling; and Pro for highest-quality, compute-intensive problems at $200 per month. GPT-5.2 Thinking scores 70.9% on GDPval and 55.6% on SWE-Bench Pro. The model reduces hallucinations by about 30% compared with its predecessor. Some benchmarks still place competitors ahead on specific coding tests.
Read at Techzine Global
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