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Introducing GPT-5.2
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Introducing GPT-5.2

We are introducing GPT‑5.2, the most capable model series yet for professional knowledge work.

Already, the average ChatGPT Enterprise user says⁠ AI saves them 40–60 minutes a day, and heavy users say it saves them more than 10 hours a week. We designed GPT‑5.2 to unlock even more economic value for people; it’s better at creating spreadsheets, building presentations, writing code, perceiving images, understanding long contexts, using tools, and handling complex, multi-step projects.

GPT‑5.2 sets a new state of the art across many benchmarks, including GDPval, where it outperforms industry professionals at well-specified knowledge work tasks spanning 44 occupations.

GPT‑5.2 Thinking 

GPT‑5.1 Thinking

GDPval (wins or ties)
Knowledge work tasks

70.9%

38.8% (GPT‑5)

SWE-Bench Pro (public)
Software engineering

55.6%

50.8%

SWE-bench Verified
Software engineering

80.0%

76.3%

GPQA Diamond (no tools)
Science questions

92.4%

88.1%

CharXiv Reasoning (w/ Python)
Scientific figure questions

88.7%

80.3%

AIME 2025 (no tools)
Competition math

100.0%

94.0%

FrontierMath (Tier 1–3)
Advanced mathematics

40.3%

31.0%

FrontierMath (Tier 4)
Advanced mathematics

14.6%

12.5%

ARC-AGI-1 (Verified)
Abstract reasoning

86.2%

72.8%

ARC-AGI-2 (Verified)
Abstract reasoning

52.9%

17.6%

In ChatGPT, GPT‑5.2 Instant, Thinking, and Pro will begin rolling out today, starting with paid plans. In the API, they are available now to all developers.

Overall, GPT‑5.2 brings significant improvements in general intelligence, long-context understanding, agentic tool-calling, and vision—making it better at executing complex, real-world tasks end-to-end than any previous model.

Model performance

Economically valuable tasks

When reviewing one especially good output, one GDPval judge commented, "It is an exciting and noticeable leap in output quality... [it] appears to have been done by a professional company with staff, and has a surprisingly well designed layout and advice for both deliverables, though with one we still have some minor errors to correct."

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