OpenAI has officially released GPT-5.2, and the response from early testers – with OpenAI putting the model in place days before release, in some cases weeks ago – paints a two-tone picture: it’s a monumental step forward towards deep, autonomous reasoning and coding, while also being a potentially disappointing “incremental” update for casual talkers.
Following early access periods and today’s broader rollout, executives, developers and analysts took to X (formerly Twitter) and company blogs to share their first test results.
Here’s a roundup of early reactions to OpenAI’s latest flagship.
“AI as a serious analyst”
The greatest praise for GPT-5.2 comes from its ability to deal with “hard problems” that require extended thinking time.
Matt Shumer, CEO of HyperWriteAI, didn’t mince his words his reviewcalling the GPT-5.2 Pro “the best model in the world”.
Shumer highlighted the model’s perseverance, noting that she “thinks about difficult problems for **over an hour**. And accomplishes tasks that no other model can handle.”
This feeling was there repeated by Allie K. Millerartificial intelligence entrepreneur and former AWS executive. Miller described the model as a step toward “AI as a serious analyst” rather than a “friendly companion.”
“Thinking and problem solving seem noticeably stronger,” Miller wrote in X. “He gives much deeper explanations than usual. At one point he literally wrote code to improve his own OCR mid-task.”
Enterprise Benefits: Box reports significant performance spikes
For the corporate sector, the update seems even more significant.
Aaron Levie, CEO of Box, revealed on X that his company is testing GPT-5.2 in early access. Levie reported that the model performs “7 points better than GPT-5.1” on extended inference tests that approximate real-world knowledge in financial services and life sciences.
“The model performed most tasks significantly faster than GPT-5.1 and GPT-5,” Levie noted, confirming that Box AI will soon introduce integration with GPT-5.2.
Rutuja Rajwade, Senior Product Marketing Manager at Box, I elaborated on this in a post on the company blogciting specific latency improvements.
“Complex extraction” tasks dropped from 46 seconds in GPT-5 to just 12 seconds in GPT-5.2.
Rajwade also saw an raise in reasoning capabilities in the media and entertainment industry, from 76% accuracy in GPT-5.1 to 81% in the novel model.
A ‘Major Leap’ in Coding and Simulation
Developers find GPT-5.2 particularly effective for “one-shot” generation of intricate code structures.
Pietro Schirano, CEO of magicpathai, shared a video model building a full 3D graphics engine in one file with interactive controls. “This is a major leap forward in complex reasoning, mathematics, coding and simulation,” Schirano wrote. “The rate of progress is unreal.”
Ssimilarly, Ethan Mollick, a professor at the Wharton School of Business at the University of Pennsylvania and a long-time user and author of LLM and AI, demonstrated the model’s ability to create a visually complex shader– an endless neo-gothic city on a stormy ocean – with just one hint.
The era of the agent: long-term autonomy
Perhaps the most functional change is the model’s ability to perform a task for hours without losing thread.
Dan Shipper, CEO of the thoughtful AI testing newsletter Everyreported that the model successfully performed a profit-and-loss (P&L) analysis, which required it to operate autonomously for two hours. “He did a P&L analysis that ran for 2 hours and gave me great results,” Shipper wrote.
However, Shipper also noted that for everyday tasks, the update appears to be “mostly incremental.”
IN article for everyoneKatie Parrott wrote that while GPT-5.2 excels at following instructions, it is “less resourceful” than competitors such as Claude Opus 4.5 in some contexts, such as determining a user’s location from email data.
Disadvantages: speed and stiffness
Despite its ability to reason, the “impression” of the model has been met with criticism.
Shumer highlighted the significant “speed penalty” when using Model Thinking mode. “In my experience, Thinking mode is very slow for most questions,” Shumer wrote in his detailed review. “I almost never use Instant.”
Allie Miller also pointed out issues with the model’s default behavior. “The downside is the tone and format,” she noted. “The default voice was slightly stiffer and the length/marking behavior was extreme: a simple question turned into 58 bullets and numbered points.”
Verdict
Early reaction suggests that GPT-5.2 is a tool optimized for power users, developers and enterprise agents, rather than casual conversations. As Shumer concluded in his review, “For in-depth research, complex reasoning, and tasks that require careful thought, GPT-5.2 Pro is the best option available today.”
However, for users looking for inventive writing or rapid and silky responses, models like the Claude Opus 4.5 remain powerful competitors. “My favorite model remains Claude Opus 4.5,” Miller admitted, “but my complex work with ChatGPT will become more and more streamlined.”