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 durations and right now'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 considering time.
Matt Shumer, CEO of HyperWriteAI, didn’t mince phrases in his overview, calling GPT-5.2 Professional "the most effective 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 Okay. Miller, an AI entrepreneur and former AWS government. Miller described the mannequin as a step towards "AI as a severe analyst" relatively than a "pleasant companion."
"The considering and problem-solving really feel noticeably stronger," Miller wrote on X. "It offers a lot deeper explanations than I’m used to seeing. At one level it actually wrote code to enhance its personal OCR in the midst of a process."
Enterprise features: Field stories distinct efficiency jumps
For the enterprise sector, the replace seems to be much more vital.
Aaron Levie, CEO of Field, 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 information 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 nicely," Levie famous, confirming that Field AI might be rolling out GPT-5.2 integration shortly.
Rutuja Rajwade, a Senior Product Advertising and marketing Supervisor at Field, expanded on this in an organization weblog put up, citing particular latency enhancements.
"Complicated extraction" duties dropped from 46 seconds on GPT-5 to simply 12 seconds with GPT-5.2.
Rajwade additionally famous a bounce 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 complicated code buildings.
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 complicated reasoning, math, coding, and simulations," Schirano posted. "The tempo of progress is unreal."
Similarly, Ethan Mollick, a professor on the Wharton College of Enterprise on the College of Pennsylvania and longtime LLM and AI energy person and author, demonstrated the mannequin's capability to create a visually complicated shader—an infinite neo-gothic metropolis in a stormy ocean—through a single immediate.
The Agentic Period: Lengthy-running autonomy
Maybe probably the most practical shift is the mannequin's capability to remain on process for hours with out shedding the thread.
Dan Shipper, CEO of considerate AI testing publication Each, 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 Each, Katie Parrott wrote that whereas GPT-5.2 excels at instruction following, it’s "much less resourceful" than rivals like Claude Opus 4.5 in sure contexts, comparable to deducing a person's location from e mail information.
The downsides: Pace and Rigidity
Regardless of the reasoning capabilities, the "really feel" of the mannequin has drawn critique.
Shumer highlighted a major "velocity penalty" when utilizing the mannequin's Pondering mode. "In my expertise the Pondering mode may be very gradual for many questions," Shumer wrote in his deep-dive overview. "I virtually by no means use Prompt."
Allie Miller additionally identified points with the mannequin's default habits. "The draw back is tone and format," she famous. "The default voice felt a bit extra inflexible, and the size/markdown habits is excessive: a easy query was 58 bullets and numbered factors."
The Verdict
The early response means that GPT-5.2 is a instrument optimized for energy customers, builders, and enterprise brokers relatively than informal chat. As Shumer summarized in his overview: "For deep analysis, complicated reasoning, and duties that profit from cautious thought, GPT-5.2 Professional is the most suitable choice accessible proper now."
Nevertheless, for customers searching for inventive writing or fast, fluid solutions, fashions like Claude Opus 4.5 stay robust rivals. "My favourite mannequin stays Claude Opus 4.5," Miller admitted, "however my complicated ChatGPT work will get a pleasant incremental increase."
