# Gemini Deep Think achieves gold-medal performance on International Mathematical Olympiad problems

> An advanced version of Google DeepMind's Gemini, running its Deep Think mode, solved five of the six problems at the International Mathematical Olympiad, clearing the 35-point threshold that earns a human competitor a gold medal. The IMO is not a test of calculation; its problems reward creative insight, and strong human students train for years to place. This is a clear step up from July 2025, when DeepMind's specialized AlphaProof and AlphaGeometry systems managed a silver-medal result with four problems solved. What is notable here is that the work came from a more general reasoning model rather than a narrow, purpose-built prover, suggesting the underlying capability is broadening. The significance is less about medals and more about what the result implies. Frontier models are moving from pattern matching toward something closer to genuine mathematical reasoning, and DeepMind says recent versions have begun chipping at open problems that resisted human mathematicians for decades. Whether that generalizes beyond contest math is the open question, but the trajectory is hard to ignore.

_Section: [Daily AI Updates](https://www.wortins.com/daily-ai) · Source: Google DeepMind · Published Thursday, July 23, 2026_

## Wortins' read

An advanced version of Google DeepMind's Gemini, running its Deep Think mode, solved five of the six problems at the International Mathematical Olympiad, clearing the 35-point threshold that earns a human competitor a gold medal. The IMO is not a test of calculation; its problems reward creative insight, and strong human students train for years to place. This is a clear step up from July 2025, when DeepMind's specialized AlphaProof and AlphaGeometry systems managed a silver-medal result with four problems solved. What is notable here is that the work came from a more general reasoning model rather than a narrow, purpose-built prover, suggesting the underlying capability is broadening. The significance is less about medals and more about what the result implies. Frontier models are moving from pattern matching toward something closer to genuine mathematical reasoning, and DeepMind says recent versions have begun chipping at open problems that resisted human mathematicians for decades. Whether that generalizes beyond contest math is the open question, but the trajectory is hard to ignore.

## Source

[Read the full story at Google DeepMind](https://deepmind.google/blog/advanced-version-of-gemini-with-deep-think-officially-achieves-gold-medal-standard-at-the-international-mathematical-olympiad/)

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