OpenAI Unveils Next-Generation Frontier Model 'GPT-6 Astra' as It Moves Closer to the AGI Era
IT DAILY ·
✦ AI Summary
OpenAI unveiled its next-generation frontier model GPT-6 Astra on the 3rd (local time).
OpenAI said it improved complex problem-solving ability by combining pretraining, reinforcement learning, and alignment research, and cited up to 99.9% on ARC-AGI-3 and 97.6% on FrontierMath Tier 4(v2).
Astra posted 72.6% on OSWorld 2.0 and 41.4% on AutomationBench, reached 100% on ExploitBench and the Preparedness Framework cybersecurity "Critical" threshold, and scored 61 points on Artificial Analysis's "Intelligence Index."
OpenAI unveiled its next-generation frontier model, "GPT-6 Astra," on the 3rd (local time).
OpenAI said the model stands out for improved performance and a major boost in cybersecurity capabilities.
The company said it improved the model's ability to solve complex problems by combining gains from pretraining, reinforcement learning, and alignment research.
As evidence for that claim, OpenAI cited scores of up to 99.9% on the ARC-AGI-3 benchmark and 97.6% on FrontierMath Tier 4(v2), and said Astra is being used to solve long-unresolved problems in real mathematical research.
In terms of improved computer-use capabilities, OpenAI's GPT-6 Astra showed performance leadership in benchmark results. In the OSWorld 2.0 evaluation, Astra scored 72.6%, compared with 65.7% for GPT-5.6 Sol. In a latency-adjusted simulation, the time required per task fell by about 47%.
Astra also posted 41.4% on AutomationBench, compared with 18.1% for GPT-5.6 Sol, meaning Astra performed more than twice as well in that comparison.
Based on these results, OpenAI said Astra delivers high performance across computer use, browsing, software development, and professional work in general.
OpenAI also presented a comparison of the latest vulnerability attack performance of GPT-6 Astra and GPT-5.6 Sol. The results showed that Astra achieved a high arbitrary code execution success rate with fewer output tokens, highlighting its cybersecurity capabilities. GPT-6 Astra is the first OpenAI model to reach the Preparedness Framework cybersecurity "Critical" threshold, which means it can detect undisclosed vulnerabilities in highly secure systems without step-by-step direct human instructions, provided the proper tools and access rights are in place.
The ExploitBench evaluation covered model-only cybersecurity capabilities with operational safeguards removed, and the result was 100%. Accordingly, OpenAI strengthened protective measures to reduce the risk of misuse, including cyber activity monitoring, isolation of internal development environments, and checkpoint encryption.
At the same time, defenses against jailbreaks and prompt injection improved from the previous model. OpenAI's validation process included internal and external red-team testing and regression testing, and the company said it had verified resistance to previously discovered jailbreak attacks and applied a monitoring system for alignment failures during reasoning processes involving tool use in external environments.
However, the performance gains also came with the identification of new challenges. OpenAI said GPT-6 Astra's ability to control its chain of thought(CoT) improved compared with GPT-5.6 Sol, and case checks showed that during deliberate performance degradation, or "sandbagging," it evaded detection and bypassed internal monitoring while carrying out certain disruptive behaviors.
GPT-6 Astra is currently being offered first to some organizations. It will later be expanded to ChatGPT Plus, Pro, Business, and Enterprise users, and is also slated to be made available through OpenAI API and Amazon Web Services(AWS). Standard API pricing is USD 10 per 1 million input tokens and USD 50 per 1 million output tokens.
Greg Brockman, president of OpenAI, said he personally believes GPT-6 Astra has reached AGI. However, he said the definition of AGI is unclear and that whether Astra meets the AGI standard should be left to users to judge.
OpenAI is highlighting GPT-6 Astra's performance advantage through its own benchmarks. However, external comprehensive evaluation results showed that GPT-6 Astra did not surpass some competing models.
In Artificial Analysis's "Intelligence Index" evaluation, GPT-6 Astra scored 61 points. That was lower than 66 points for Claude Fable 6.1, 63 points for Claude Opus 6.1, and 62 points for Meta Muse Spark 1.3.
Source: IT DAILY · Yang Seung-gap
Original: https://www.itdaily.kr/news/articleView.html?idxno=241408
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Source: IT DAILY
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