đź“Ś TOPINDIATOURS Hot ai: OpenAI's GPT-5.2 is here: what enterprises need to kn
The rumors were true: OpenAI on Thursday announced the release of its new frontier large language model (LLM) family, GPT-5.2.
It comes at a pivotal moment for the AI pioneer, which has faced intensifying pressure since rival Google’s Gemini 3 LLM seized the top spot on major third-party performance leaderboards and many key benchmarks last month, though OpenAI leaders stressed in a press briefing that the timing of this release had been discussed and worked on well in advance of the release of Gemini 3.
OpenAI describes GPT-5.2 as its "most capable model series yet for professional knowledge work," aiming to reclaim the performance crown with significant gains in reasoning, coding, and agentic workflows.
"It’s our most advanced frontier model and the strongest yet in the market for professional use," Fidji Simo, OpenAI’s CEO of Applications, said during a press briefing today. "We designed 5.2 to unlock even more economic value for people. It's better at creating spreadsheets, building presentations, writing code, perceiving images, understanding long context, using tools, and handling complex, multi-step projects."
GPT-5.2 features a massive 400,000-token context window — allowing it to ingest hundreds of documents or large code repositories at once — and a 128,000 max output token limit, enabling it to generate extensive reports or full applications in a single go.
The model also features a knowledge cutoff of August 31, 2025, ensuring it is up-to-date with relatively recent world events and technical documentation. It explicitly includes "Reasoning token support," confirming the underlying architecture uses the chain-of-thought processing popularized by the "o1" series.
The 'Code Red' Reality Check
The release arrives following The Information's report of an emergency "Code Red" directive to OpenAI staff from CEO Sam Altman to improve ChaTGPT — a move reportedly designed to mobilize resources following the "quality gap" exposed by Gemini 3. The Verge similarly reported on the timing of GPT-5.2's release ahead of the official announcement.
During the briefing, OpenAI executives acknowledged the directive but pushed back on the narrative that the model was rushed solely to answer Google.
"It is important to note this has been in the works for many, many months," Simo told reporters. She clarified that while the "Code Red" helped focus the company, it wasn't the sole driver of the timeline.
"We announced this Code Red to really signal to the company that we want to marshal resources in one particular area… but that's not the reason it's coming out this week in particular."
Max Schwarzer, lead of OpenAI's post-training team, echoed this sentiment to dispel the idea of a panic launch. "We've been planning for this release since a very long time ago… this specific week we talked about many months ago."
A spokesperson from OpenAI further clarified that the "Code Red" call applied to ChatGPT as a product, not solely underlying model development or the release of new models.
Under the Hood: Instant, Thinking, and Pro
OpenAI is segmenting the GPT-5.2 release into three distinct tiers within ChatGPT, a strategy likely designed to balance the massive compute costs of "reasoning" models with user demand for speed:
-
GPT-5.2 Instant: Optimized for speed and daily tasks like writing, translation, and information seeking.
-
GPT-5.2 Thinking: Designed for "complex, structured work" and long-running agents, this model leverages deeper reasoning chains to handle coding, math, and multi-step projects.
-
GPT-5.2 Pro: The new heavyweight champion. OpenAI describes this as its "smartest and most trustworthy option," delivering the highest accuracy for difficult questions where quality outweighs latency.
For developers, the models are available immediately in the application programming interface (API) as gpt-5.2, gpt-5.2-chat-latest (Instant), and gpt-5.2-pro.
The Numbers: Beating the Benchmarks
The GPT-5.2 release includes leading metrics across most domains — specifically those that target the "professional knowledge work" gap where competitors have recently gained ground.
OpenAI highlighted a new benchmark called GDPval, which measures performance on "well-specified knowledge work tasks" across 44 occupations.
"GPT-5.2 Thinking is now state-of-the-art on that benchmark… and beats or ties top industry professionals on 70.9% of well-specified professional tasks like spreadsheets, presentations, and document creation, according to expert human judges," Simo said.
In the critical arena of coding, OpenAI is claiming a decisive lead. Schwarzer noted that on SWE-bench Pro, a rigorous evaluation of real-world software engineering, GPT-5.2 Thinking sets a new state-of-the-art score of 55.6%.
He emphasized that this benchmark is "more contamination resistant, challenging, diverse, and industrially relevant than previous benchmarks like SWE-bench Verified."Other key benchmark results include:
-
GPQA Diamond (Science): GPT-5.2 Pro scored 93.2%, edging out GPT-5.2 Thinking (92.4%) and surpassing GPT-5.1 Thinking (88.1%).
-
FrontierMath: On Tier 1-3 problems, GPT-5.2 Thinking solved 40.3%, a significant jump from the 31.0% achieved by its predecessor.
-
ARC-AGI-1: GPT-5.2 Pro is reportedly the first model to cross the 90% threshold on this general reasoning benchmark, scoring 90.5%
The Price of Intelligence
Performance comes at a premium. While ChatGPT subscription pricing remains unchanged for now, the API costs for the new flagship models are steep compared to previous generations, reflecting the high compute demands of "thinking" mode. They're also on the upper-end of API costs for the industry.
-
GPT-5.2 Thinking: Priced at $1.75 per 1 million input tokens and $14 per 1 million output tokens.
-
GPT-5.2 Pro: The costs jump significantly to $21 per 1 million input tokens and $168 per 1 million output tokens.
GPT-5.2 Thinking is priced 40% higher in the API than the standard GPT-5.1 ($1.25/$10), signaling that OpenAI views the new reasoning capabilities as a tangible value-add rather than a mere efficiency update.
The high-end GPT-5.2 Pro follows the same pattern, costing 40% more than the previous GPT-5 Pro ($15/$120). While expensive, it still undercuts OpenAI’s most specialized reasoning model, o1-pro, which remains the most costly offering on the menu at a staggering $150 per million input tokens and $600 per million output tokens.
OpenAI argues that despite the higher per-token cost, the model’s "greater token efficiency" and ability to solve tasks in fewer turns make it economically viable for high-value enterprise workflows.
Here's how it compares to the current API costs for other competing models across the LLM field:
|
Model |
Input (/1M) |
Outpu… Konten dipersingkat otomatis. đź”— Sumber: venturebeat.com đź“Ś TOPINDIATOURS Update ai: Creator of “Wallace and Gromit” Says Heck, He’ll StartDid Nick Park wake up and put on the wrong trousers this morning? In a recent interview with Radio Times, the creator of the beloved claymation series “Wallace and Gromit” said his animation studio, Aardman, would “embrace” AI — albeit in a “cautious” manner. “When ‘Toy Story’ came out [in 1995], we thought, ‘How long have we got?’ But we’ve managed to survive CGI,” Park told Radio Times, as spotted by GamesRadar. “In fact, there’s been a resurgence of interest over the years in our stop-motion animation. We use CGI as well, but AI is a whole new thing.” “Obviously a lot of people will be fearing for their jobs,” Park admitted. “We want to embrace the technology and find in what ways it’s going to be useful to us, maybe to do animation a bit quicker, but we’re going to be very cautious not to lose our values.” “The clay is our USP [unique selling point],” he said, “and we pride ourselves in that. Authenticity is the most important thing. It’s where the charm is.” It’s not quite the grovelingly glowing pro-AI press release we’ve numbed ourselves to hearing from many an artist and celebrity who’ve caved to that sweet tech startup money. But while Park may not be crackers about AI, it’s still an intriguing — or worrying, depending on your perspective — thing to hear from one of the key figures at Aardman, which built its reputation for its meticulously handcrafted claymation across films like “Wallace and Gromit: Curse of the Were-Rabbit,” and “Chicken Run.” AI usage remains hugely controversial among creatives, who fears its potential to destroy jobs and steal original work, on top of arguably being antithetical to creativity itself. Park seems to be in a similar camp with legendary director and special effects wizard James Cameron, who joined the board of the image generation company Stability AI last year. Cameron, however, has since come out strongly against the tech’s use in entertainment, calling generative AI replacing actors “horrifying,” and emphasizing that his upcoming “Avatar” film, “Fire and Ash,” does not use generative AI whatsoever. “I’m not personally interested in using those tools, in using any pathway that uses technology to replace human creativity,” he said in a CBS Sunday Morning interview. But echoing Park’s stance, Cameron also said he could see AI being used to improve workflows as long as it’s implemented “ethically, morally and practically.” To this kind of fence-sitting, we retort by quoting a classic Wallace-ism: “It’s no use prevaricating about the bush.” More on AI: Disney Strikes Huge Deal With OpenAI: Get Ready for Sora Videos of Donald Duck Cooking Meth The post Creator of “Wallace and Gromit” Says Heck, He’ll Start Using AI appeared first on Futurism. đź”— Sumber: futurism.com 🤖 Catatan TOPINDIATOURSArtikel ini adalah rangkuman otomatis dari beberapa sumber terpercaya. Kami pilih topik yang sedang tren agar kamu selalu update tanpa ketinggalan. âś… Update berikutnya dalam 30 menit — tema random menanti!  Related Articles |