With Gemini 3 Deep Think, Google presents a comprehensive upgrade of its specialized reasoning mode. The new version was developed in close collaboration with scientists and researchers to tackle complex challenges in mathematics, physics, chemistry and engineering. The aim is not only to solve theoretical tasks, but also to accelerate concrete applications in research and practice. Gemini 3 Deep Think thus positions itself as a powerful tool at the interface of AI and real-world problem solving.
- Significantly improved reasoning capabilities for complex research questions
- Top scores in benchmarks such as ARC-AGI-2 and Codeforces
- Gold medal level at international math and physics olympiads
- Available in the Gemini app for Google AI Ultra and via the Gemini API (Early Access)
Gemini 3 Deep Think sets new standards in AI reasoning
Gemini 3 Deep Think was specially developed to analyze challenging problems where there are no clear solution paths or complete data sets. Particularly in scientific disciplines, data is often incomplete, hypotheses are ambiguous and solution spaces are complex. This is where Deep Think comes into its own by combining in-depth specialist knowledge with algorithmic precision.
The system has already impressed in initial practical tests. For example, a mathematician at Rutgers University used Deep Think to analyze a highly complex mathematical publication – and the system identified a subtle logical flaw that had previously been overlooked in the peer review process. This example underlines how AI-supported reasoning can not only support but also ensure quality in research.
Gemini 3 Deep Think also sets new standards in benchmarks. With 48.4 percent on “Humanity’s Last Exam” (without external tools) and 84.6 percent on ARC-AGI-2 – verified by the ARC Prize Foundation – the model achieves values that clearly demonstrate the performance of modern AI systems. Added to this is an Elo rating of 3455 on the Codeforces programming platform, which indicates exceptional skills in competitive coding. The system even reached gold medal level at the 2025 International Mathematical Olympiad – a remarkable milestone for AI in an academic context.
From theory to practice: focus on research and engineering
In addition to top mathematical performance, Gemini 3 Deep Think is increasingly impressing in scientific disciplines. The model also achieved gold medal-level results in the written sections of the International Physics and Chemistry Olympiad 2025. In the demanding CMT benchmark for theoretical physics, it achieved 50.5 percent – a value that illustrates its growing expertise in highly complex subject areas.
However, the practical benefits are particularly relevant. Deep Think supports researchers in interpreting complex data sets and helps engineers to model physical systems using code. An illustrative example: the system can calculate a three-dimensional model from a simple sketch and generate a file for 3D printing. AI reasoning is thus directly integrated into real production and development processes.
Gemini 3 Deep Think is now available in the Gemini app for Google AI Ultra subscribers. In addition, the reasoning mode will be made available for the first time via the Gemini API as part of an early access program for selected researchers, engineers and companies. This step opens up the platform for industrial and scientific applications on a larger scale.
Conclusion
Gemini 3 Deep Think marks a significant step forward in AI-powered reasoning. With top scores in international benchmarks and concrete applications in research and engineering, the system shows how AI is taking on increasingly demanding scientific tasks. While Google AI Ultra subscribers already have access, API usage will initially start in the Early Access program – a clear indication of the enormous potential of this technology.
