OpenAI unveils GPT-5.2 to compete with Google’s Gemini 3

Investing.com -- OpenAI is rolling out GPT-5.2, a new artificial intelligence model designed to enhance ChatGPT’s capabilities in coding, science and various work tasks, as the company faces renewed competition from Google’s recently launched Gemini 3.

The new model, announced Thursday, offers improvements in information retrieval, writing, translation and reasoning abilities, according to OpenAI. Available in three tiers - Instant, Thinking and Pro - GPT-5.2 aims to better mimic human reasoning processes for handling complex tasks in mathematics and programming.

OpenAI, once the clear leader in AI development, now faces strong competition from Google and Anthropic, both of which released new models recently. Google’s Gemini 3 has received particular praise for its reasoning and coding capabilities, quickly rising to top positions on AI leaderboards like LMArena and Humanity’s Last Exam.

According to benchmark tests shared by OpenAI, GPT-5.2 Thinking outperforms industry professionals at knowledge work tasks across 44 occupations, winning or tying in 70.9% of comparisons. The company claims the model produced outputs for these tasks more than 11 times faster and at less than 1% of the cost compared to human experts.

The new model shows significant improvements in coding abilities, achieving a 55.6% score on SWE-Bench Pro, a rigorous evaluation of real-world software engineering spanning multiple programming languages. On factuality tests, GPT-5.2 Thinking reduced error rates by 30% compared to its predecessor.

OpenAI also highlighted the model’s enhanced long-context understanding, allowing it to maintain coherence across hundreds of thousands of tokens, making it suitable for analyzing lengthy documents like reports, contracts and research papers.

In ChatGPT, the company has begun rolling out GPT-5.2 to paid subscription plans, while making it immediately available to all developers through its API. GPT-5.2 is priced at $1.75 per million input tokens and $14 per million output tokens, with a 90% discount on cached inputs.

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