AI2 min read

Google DeepMind's Gemini 3 Achieves Human-Level Reasoning on Math Olympiad Problems

DeepMind's Gemini 3 becomes the first AI system to achieve gold-medal performance on the International Mathematical Olympiad, solving all six problems correctly.

AR

Aditya Raj

July 15, 2026

Google DeepMind's Gemini 3 Achieves Human-Level Reasoning on Math Olympiad Problems
AI Summary

Google DeepMind's Gemini 3 achieved a perfect score on the International Mathematical Olympiad — the first AI to do so. Using Chain-of-Thought Reinforcement Learning, it solved all six problems in under 30 minutes. The reasoning capabilities are already being applied to drug discovery and materials science, including identifying a room-temperature superconductor candidate.

Google DeepMind has announced that Gemini 3 achieved a historic milestone — gold-medal performance on the International Mathematical Olympiad (IMO), solving all six problems correctly and scoring 42 out of 42 points.
Abstract visualization of AI neural network processing mathematical equations and formulas
Gemini 3 represents a breakthrough in mathematical reasoning for AI systems
The IMO is considered the world's most prestigious mathematics competition for pre-university students. Gemini 3 completed the exam in under 30 minutes, compared to the 4.5 hours allotted to human participants. The system tackled problems spanning number theory, algebra, combinatorics, and geometry. The breakthrough comes from Gemini 3's new Chain-of-Thought Reinforcement Learning architecture. Unlike previous models that generated answers directly, Gemini 3 learns mathematical reasoning through an iterative process of generating multiple solution paths, evaluating each step, and self-correcting when it detects logical errors.

"Solving an IMO problem requires not just mathematical knowledge, but creativity and intuition — qualities we thought were uniquely human. Gemini 3 has shown that AI can develop genuine mathematical creativity."

— Sir Timothy Gowers, Fields Medalist and IMO Gold Medalist
Gemini 3 demonstrated particularly impressive performance on geometry problems, using a novel approach that combines symbolic reasoning with spatial visualization — an area where previous AI systems struggled. The system was able to construct auxiliary lines and visualize geometric relationships that even expert mathematicians described as elegant. The practical implications extend far beyond mathematics competitions. DeepMind has already applied Gemini 3's reasoning capabilities to drug discovery, where it identified three novel protein structures for antibiotic development, and to materials science, where it discovered a new room-temperature superconductor candidate. Google has announced that Gemini 3's mathematical reasoning capabilities will be integrated into Google Search, Google Workspace, and Google Cloud AI services starting next month. The company is also releasing a specialized Gemini 3 Math API for educational institutions and research organizations.

Advertisement

Key Takeaways

  1. 1First AI to achieve perfect score (42/42) on International Mathematical Olympiad
  2. 2Completed the 4.5-hour exam in under 30 minutes across number theory, algebra, combinatorics, and geometry
  3. 3Chain-of-Thought Reinforcement Learning enables self-correction and mathematical creativity
  4. 4Applied to drug discovery (3 novel protein structures) and materials science (superconductor candidate)
  5. 5Gemini 3 Math capabilities coming to Google Search, Workspace, and Cloud AI next month

Frequently Asked Questions

What is the International Mathematical Olympiad?

The IMO is the world's most prestigious pre-university mathematics competition, featuring six extremely challenging problems across various mathematical fields.

How does Gemini 3's reasoning work?

It uses Chain-of-Thought Reinforcement Learning — generating multiple solution paths, evaluating each step, and self-correcting when it detects logical errors.

What can Gemini 3's reasoning be used for?

Beyond competitions, it's being applied to drug discovery, materials science, and will be integrated into Google products.

AR

Aditya Raj

Editor-in-Chief · TechRadar360

Senior technology journalist covering AI, cybersecurity, and the future of computing.

Topics

Loading comments...