OpenAI has formally launched GPT-5.2, and the reactions from early testers — amongst whom OpenAI seeded the mannequin a number of days previous to public launch, in some instances weeks in the past — paints a two toned image: it’s a monumental leap ahead for deep, autonomous reasoning and coding, but probably an underwhelming “incremental” replace for informal conversationalists.
Following early entry intervals and in the present day’s broader rollout, executives, builders, and analysts have taken to X (previously Twitter) and firm blogs to share their first testing outcomes.
Here’s a roundup of the primary reactions to OpenAI’s newest flagship mannequin.
“AI as a severe analyst”
The strongest reward for GPT-5.2 facilities on its capability to deal with “exhausting issues” that require prolonged pondering time.
Matt Shumer, CEO of HyperWriteAI, didn’t mince phrases in his review, calling GPT-5.2 Professional “one of the best mannequin on the earth.”
Shumer highlighted the mannequin’s tenacity, noting that “it thinks for **over an hour** on exhausting issues. And it nails duties no different mannequin can contact.”
This sentiment was echoed by Allie K. Miller, an AI entrepreneur and former AWS govt. Miller described the mannequin as a step towards “AI as a severe analyst” quite than a “pleasant companion.”
“The pondering and problem-solving really feel noticeably stronger,” Miller wrote on X. “It provides a lot deeper explanations than I’m used to seeing. At one level it actually wrote code to enhance its personal OCR in the course of a job.”
Enterprise good points: Field experiences distinct efficiency jumps
For the enterprise sector, the replace seems to be much more vital.
Aaron Levie, CEO of Box, revealed on X that his firm has been testing GPT-5.2 in early entry. Levie reported that the mannequin performs “7 factors higher than GPT-5.1” on their expanded reasoning exams, which approximate real-world data work in monetary companies and life sciences.
“The mannequin carried out the vast majority of the duties far sooner than GPT-5.1 and GPT-5 as properly,” Levie famous, confirming that Field AI shall be rolling out GPT-5.2 integration shortly.
Rutuja Rajwade, a Senior Product Advertising and marketing Supervisor at Field, expanded on this in a company blog post, citing particular latency enhancements.
“Complicated extraction” duties dropped from 46 seconds on GPT-5 to only 12 seconds with GPT-5.2.
Rajwade additionally famous a leap in reasoning capabilities for the Media and Leisure vertical, rising from 76% accuracy in GPT-5.1 to 81% within the new mannequin.
A “severe leap” for coding and simulation
Builders are discovering GPT-5.2 notably potent for “one-shot” technology of advanced code constructions.
Pietro Schirano, CEO of magicpathai, shared a video of the mannequin constructing a full 3D graphics engine in a single file with interactive controls. “It’s a severe leap ahead in advanced reasoning, math, coding, and simulations,” Schirano posted. “The tempo of progress is unreal.”
Similarly, Ethan Mollick, a professor on the Wharton Faculty of Enterprise on the College of Pennsylvania and longtime LLM and AI energy consumer and author, demonstrated the model’s ability to create a visually complex shader—an infinite neo-gothic metropolis in a stormy ocean—by way of a single immediate.
The Agentic Period: Lengthy-running autonomy
Maybe essentially the most purposeful shift is the mannequin’s capability to remain on job for hours with out dropping the thread.
Dan Shipper, CEO of thoughtful AI testing newsletter Every, reported that the mannequin efficiently carried out a revenue and loss (P&L) evaluation that required it to work autonomously for 2 hours. “It did a P&L evaluation the place it labored for two hours and gave me nice outcomes,” Shipper wrote.
Nevertheless, Shipper additionally famous that for day-to-day duties, the replace feels “principally incremental.”
In an article for Every, Katie Parrott wrote that whereas GPT-5.2 excels at instruction following, it’s “much less resourceful” than opponents like Claude Opus 4.5 in sure contexts, reminiscent of deducing a consumer’s location from e-mail knowledge.
The downsides: Pace and Rigidity
Regardless of the reasoning capabilities, the “really feel” of the mannequin has drawn critique.
Shumer highlighted a major “pace penalty” when utilizing the mannequin’s Considering mode. “In my expertise the Considering mode could be very gradual for many questions,” Shumer wrote in his deep-dive evaluation. “I virtually by no means use On the spot.”
Allie Miller additionally identified points with the mannequin’s default conduct. “The draw back is tone and format,” she famous. “The default voice felt a bit extra inflexible, and the size/markdown conduct is excessive: a easy query became 58 bullets and numbered factors.”
The Verdict
The early response means that GPT-5.2 is a software optimized for energy customers, builders, and enterprise brokers quite than informal chat. As Shumer summarized in his evaluation: “For deep analysis, advanced reasoning, and duties that profit from cautious thought, GPT-5.2 Professional is the best choice accessible proper now.”
Nevertheless, for customers in search of inventive writing or fast, fluid solutions, fashions like Claude Opus 4.5 stay robust opponents. “My favourite mannequin stays Claude Opus 4.5,” Miller admitted, “however my advanced ChatGPT work will get a pleasant incremental enhance.”
