Gemini 3.1 Deep Think
Best for modern challenges across science, research and engineering
Best for modern challenges across science, research and engineering
Our most specialized reasoning mode is built on top of Gemini 3.1 Pro, our most intelligent model yet.
By blending deep scientific knowledge with everyday engineering utility, Deep Think mode moves beyond abstract theory to drive practical applications
Specialized versions of Deep Think mode have successfully navigated some of the toughest challenges in reasoning, achieving gold-medal standards at math and programming world championships.
Deep Think mode excels at complex problem solving in broad scientific domains such as chemistry and physics.
Deep Think mode is built to drive practical applications, like helping accelerate rapid prototyping, evaluate experimental data, and optimize complex system designs.
Explore how Deep Think mode is already solving complex challenges across science and engineering
At Duke University, the Wang Lab utilized Deep Think mode to solve a complex challenge in materials science: optimizing fabrication methods for crystal growth.
Lisa Carbone, a mathematician at Rutgers University, used Deep Think mode to review a specialized paper in the field of high-energy physics and infinite-dimensional algebra.
Anupam Pathak, an R&D lead in Google’s Platforms and Devices division, tested Deep Think mode to accelerate the design and prototyping of complex physical components.
Reaching new heights across the most rigorous academic benchmarks
| Benchmark | Notes | Gemini 3.1 Deep Think Feb 2026 | Gemini 3 Pro Preview Thinking (High) | Opus 4.6 Thinking (Max) | GPT-5.2 Thinking (xhigh) |
|---|---|---|---|---|---|
| ARC-AGI-2 Abstract reasoning puzzles | ARC prize verified | 84.6% | 31.1% | 68.8% | 52.9% |
| Humanity's Last Exam Academic reasoning (full set, text + MM) | No tools | 48.4% | 37.5% | 40.0% | 34.5% |
| Search + code execution | 53.4% | 45.8% | 53.1% | 45.5% | |
| MMMU-Pro Multimodal understanding and reasoning | No tools | 81.5% | 81.0% | 73.9% | 79.5% |
| International Math Olympiad 2025 Mathematics | 81.5% | 14.3% | — | 71.4% | |
| Codeforces Coding and algorithms | No tools, Elo | 3455 | 2512 | 2352 | — |
| International Physics Olympiad 2025 (theory) Physics | 87.7% | 76.3% | 71.6% | 70.5% | |
| CMT-Benchmark Condensed matter theory | 50.5% | 39.5% | 17.1% | 41.0% | |
| International Chemistry Olympiad 2025 (theory) Chemistry | 82.8% | 69.6% | — | 72.0% |
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