OpenAI has officially introduced the new artificial intelligence model GPT-5.2, aimed at professional users and developers, signaling intensified competition with Google in the field of innovative technologies.
This is reported by Business • Media
Features of GPT-5.2 and Use Cases
GPT-5.2 is positioned as a flagship solution for business and corporate scenarios. It is available to ChatGPT subscribers and developers via API in three variations:
- Instant — focused on quickly solving everyday tasks, information retrieval, and text generation;
- Thinking — designed for executing complex and structured tasks, including programming, document analysis, and mathematical calculations;
- Pro — provides the highest accuracy and reliability in solving mission-critical tasks.
According to Fiji Simo, Chief Product Officer at OpenAI, the new model was developed with an emphasis on practical value for companies. GPT-5.2 demonstrates improved performance in creating spreadsheets, presentations, writing code, analyzing images, working with large contexts, and managing multi-step projects.
Internal Competition and Technical Achievements
The release of GPT-5.2 comes amid fierce competition with Google, whose products, including Gemini 3 Pro, hold leading positions in the LMArena rankings across most criteria, except for programming. It is known that OpenAI discussed the possibility of delaying the launch for additional refinement, but ultimately decided on an accelerated release to strengthen its position in the corporate segment.
“GPT-5.2 excels at creating spreadsheets and presentations, writing code, analyzing images, working with context, and managing multi-stage projects,” said Fiji Simo.
According to internal assessments by OpenAI, the Thinking version outperforms competitors Gemini 3 Pro and Claude Opus 4.5 in logical reasoning tasks, software development, and scientific testing. The model also shows improved results in programming, mathematics, scientific disciplines, computer vision, and working with long contexts.
Amid the ongoing expansion of capabilities, experts point out that the focus on deep reasoning requires significantly greater computational resources. It is known that the company is already spending more on inference than previously announced, ensuring payment for computations directly rather than through subsidized access to cloud services.
OpenAI plans to offset rising costs through product scaling and increased revenue. Company representatives emphasize that the efficiency of their models only increases over time.
It is worth noting that OpenAI has previously emphasized the rapid development of its models’ capabilities — faster than the developers themselves expected. According to their estimates, future generations of AI may carry a “high” level of risk for cybersecurity.