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Gemini 3 Deep Think Gets a Scientific Boost

Artificial Intelligence Google Gemini Deep Think Research Engineering AI Science
February 12, 2026
Source: DeepMind
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Article Summary

Google AI has unveiled a major advancement in its Gemini 3 Deep Think reasoning mode, tailored to address the demanding needs of scientific research and engineering. The update incorporates a partnership with scientists and researchers to create a tool capable of navigating ambiguous problems with incomplete data. The Deep Think mode now boasts significant improvements, exemplified by top-tier performance on industry-leading benchmarks, including Humanity’s Last Exam, ARC-AGI-2, and Codeforces. These benchmarks showcase the model’s ability to solve problems previously considered insurmountable for general AI models. Early users, such as mathematicians and materials scientists, have reported identifying critical flaws in research and optimizing fabrication methods, demonstrating the practical utility of this enhanced reasoning capability. The availability expands through Google AI Ultra subscribers and the Gemini API, furthering access to this powerful tool. This marks a step towards bridging the gap between theoretical research and tangible engineering solutions. The inclusion of a 3D-printing integration highlights the direct potential of this technology.

Key Points

  • Gemini 3 Deep Think has been upgraded to solve complex science, research, and engineering problems.
  • The model achieved gold-medal standards on several key benchmarks, including Humanity’s Last Exam and Codeforces.
  • Access to the updated Deep Think is expanding through the Gemini app for Google AI Ultra subscribers and via the Gemini API for select researchers and enterprises.

Why It Matters

This news is crucial for professionals in research, engineering, and scientific development. The development of Gemini 3 Deep Think represents a significant advancement in AI's ability to handle nuanced scientific problems, potentially accelerating breakthroughs across diverse fields. Its enhanced performance on challenging benchmarks demonstrates AI's growing capacity to assist human experts, transforming the research process and driving innovation. The move to broader access through the API emphasizes the shift towards making advanced AI capabilities accessible to a wider community of practitioners.

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