The development of GPT-5.2 by OpenAI was recently released, and it is considered a breakthrough in the competitive market of artificial-intelligence development. 

The model, which was presented under what CEO Sam Altman referred to as a code red operation, shows better results than those of Google on its Gemini 3 model, especially on code synthesis, long-context understanding, and day-to-day uses, such as spreadsheet creation and multi-step problem-solving.  

Code Red Spark  

Early the following month, in November, Altman placed on hold the secondary projects and pulled the elite development groups into a burst of activity considering the launching of Google Gemini 3 in the month of November. 

However,

“Gemini 3 has had less of an impact on our metrics than we feared,”

Altman said in an interview with CNBC, alongside Disney (DIS.N), opening new tab CEO Bob Iger.

In 2025, leading models like GPT-5, GPT-4.1, Claude Opus 4, and O3 wow the world, yet their results tell a subtler story. GPT-5 reaches 91.4% on the MMLU benchmark, just above expert humans at 89.8%. But perfection is impossible: around 6.5% of questions contain flaws.

GPT 5.2 Thinking’s average score per task is 9.3% higher than GPT‑5.1’s, rising from 59.1% to 68.4%.

“It’s our most advanced frontier model and the strongest yet in the market for professional use,”

Fidji Simo OpenAI’s CEO of Applications said during a press briefing today.

“We designed 5.2 to unlock even more economic value for people. It’s better at creating spreadsheets, building presentations, writing code, perceiving images, understanding long context, using tools, and handling complex, multi-step projects.”

Power‑Up Features  

The practical usefulness of the model is more significant than rhetoric.  GPT-5.2 is capable of automating workflows of complex tasks and it assists professional users in performing different activities, including presentation creation and code debugging. 

Overall, GPT-5.2 brings significant improvements in general intelligence, long-context understanding, agentic tool-calling, and vision making it better at executing complex, real-world tasks end-to-end than any previous model. 

What Lies Ahead  

The increase in competitive risk means that future versions, like Gemini 3.1, will be proposed, though where OpenAI is concerned winning the market among established businesses, which Gartner estimates at 92% among Fortune 500 companies as of 2023. 

It is projected that by 2030, $15.7 billion of an artificial-intelligence economy will be due to announced artificial-general-intelligence capabilities by mid-2026. 

This inevitably has an impact on the direction that the field is headed towards in terms of greater scale participation and more daring investment.