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Reading: OpenAI goals to point out its not falling behind its rivals with GPT-5.2 launch | Fortune
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Asolica > Blog > Business > OpenAI goals to point out its not falling behind its rivals with GPT-5.2 launch | Fortune
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OpenAI goals to point out its not falling behind its rivals with GPT-5.2 launch | Fortune

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Last updated: December 11, 2025 7:34 pm
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2 months ago
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OpenAI goals to point out its not falling behind its rivals with GPT-5.2 launch | Fortune
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OpenAI, beneath rising aggressive stress from Google and Anthropic, has debuted a brand new AI mannequin, GPT-5.2, that it says beats all current fashions by a considerable margin throughout a variety of duties.

The brand new mannequin, which is being launched lower than a month after OpenAI debuted its predecessor, GPT-5.1, carried out notably nicely on a benchmark of difficult skilled duties throughout a variety of “knowledge work”—from legislation to accounting to finance—in addition to on evaluations involving coding and mathematical reasoning, in accordance with knowledge OpenAI launched.

Fidji Simo, the previous InstaCart CEO who now serves as OpenAI’s CEO of purposes, instructed reporters that the mannequin mustn’t been seen as a direct response to Google’s Gemini 3 Professional AI mannequin, which was launched final month. That launch prompted OpenAI CEO Sam Altman to situation a “code red,” delaying the rollout of a number of initiatives in an effort to focus extra employees and computing sources on enhancing its core product, ChatGPT.

“I would say that [the Code Red] helps with the release of this model, but that’s not the reason it is coming out this week in particular, it has been in the works for a while,” she stated.

She stated the corporate had been constructing GPT-5.2 “for many months.” “We don’t turn around these models in just a week. It’s the result of a lot of work,” she stated. The mannequin had been identified internally by the code title “Garlic,” in accordance with a narrative in The Info. The day earlier than the mannequin’s launch Altman teased its imminent rollout by posting to social media a video clip of him cooking a dish with a considerable amount of garlic.

OpenAI executives stated that the mannequin had been within the palms of “Alpha customers” who assist check its efficiency for “several weeks”—a time interval that will imply the mannequin was accomplished previous to Altman’s “code red” declaration.

These testers included authorized AI startup Harvey, note-taking app Notion, and file-management software program firm Field, in addition to Shopify and Zoom.

OpenAI stated these prospects discovered GPT-5.2 demonstrated a “state of the art” capacity to make use of different software program instruments to finish duties, in addition to excelling at writing and debugging code.

Coding has grow to be one of the aggressive use instances for AI mannequin deployment inside corporations. Though OpenAI had an early lead within the house, Anthropic’s Claude mannequin has proved particularly fashionable amongst enterprises, exceeding OpenAI’s marketshare in accordance with some figures. OpenAI is little doubt hoping to persuade prospects to show again to its fashions for coding with GPT-5.2.

Simo stated the “Code Red” was serving to OpenAI give attention to enhancing ChatGPT. “Code Red is really a signal to the company that we want to marshal resources in one particular area, and that’s a way to really define priorities and define things that can be deprioritized,” she stated. “So we have had an increase in resources focused on ChatGPT in general.”

The corporate additionally stated its new mannequin is healthier than the corporate’s earlier ones at offering “safe completions”—which it defines as offering customers with useful solutions whereas not saying issues which may contribute to or worsen psychological well being crises.

“On the safety side, as you saw through the benchmarks, we are improving on pretty much every dimension of safety, whether that’s self harm, whether that’s different types of mental health, whether that’s emotional reliance,” Simo stated. “We’re very proud of the work that we’re doing here. It is a top priority for us, and we only release models when we’re confident that the safety protocols have been followed, and we feel proud of our work.”

The discharge of the brand new mannequin got here on the identical day a brand new lawsuit was filed in opposition to the corporate alleging that ChatGPT’s interactions with a psychologically troubled person had contributed to a murder-suicide in Connecticut. The corporate additionally faces a number of different lawsuits alleging ChatGPT contributed to folks’s suicides. The corporate known as the Connecticut murder-suicide “incredibly heartbreaking” and stated it’s persevering with to enhance “ChatGPT’s training to recognize and respond to signs of mental or emotional distress, de-escalate conversations and guide people toward real-world support.” 

GPT-5.2 confirmed a big leap in efficiency throughout a number of benchmark exams of curiosity to enterprise prospects. It met or exceeded human knowledgeable efficiency on a variety of adverse skilled duties, as measured by OpenAI’s GDPval benchmark, 70.9% of the time. That compares to simply 38.8% of the time for GPT-5, a mannequin that OpenAI launched in August; 59.6% for Anthropic’s Claude Opus 4.5; and 53.3% for Google’s Gemini 3 Professional.

On the software program growth benchmark, SWE-Bench Professional, GPT-5.2 scored 55.6%, which was nearly 5 share factors higher than its predecessor, GPT-5.1, and greater than 12% higher than Gemini 3 Professional.

OpenAI’s Aidan Clark, vp of analysis (coaching), declined to reply questions on precisely what coaching strategies had been used to improve GPT-5.2’s efficiency, though he stated that the corporate had made enhancements throughout the board, together with in pretraining, the preliminary step in creating an AI mannequin.

When Google launched its Gemini 3 Professional mannequin final month, its researchers additionally stated the corporate had made enhancements in pretraining in addition to post-training. This shocked some within the subject who believed that AI corporations had largely exhausted the flexibility to wring substantial enhancements out of the pretraining stage of mannequin constructing, and it was speculated that OpenAI could have been caught off guard by Google’s progress on this space.

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