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Google DeepMind announced Monday that an advanced version of its Gemini artificial intelligence model has officially achieved gold medal-level performance at the International Mathematical Olympiad, solving five of six exceptionally difficult problems and earning recognition as the first AI system to receive official gold-level grading from competition organizers.
The victory advances the field of AI reasoning and puts Google ahead in the intensifying battle between tech giants building next-generation artificial intelligence. More importantly, it demonstrates that AI can now tackle complex mathematical problems using natural language understanding rather than requiring specialized programming languages.
“Official results are in — Gemini achieved gold-medal level in the International Mathematical Olympiad!” Demis Hassabis, CEO of Google DeepMind, wrote on social media platform X Monday morning. “An advanced version was able to solve 5 out of 6 problems. Incredible progress.”
Official results are in – Gemini achieved gold-medal level in the International Mathematical Olympiad! ? An advanced version was able to solve 5 out of 6 problems. Incredible progress – huge congrats to @lmthang and the team! https://t.co/pp9bXF7rVj — Demis Hassabis (@demishassabis) July 21, 2025
The International Mathematical Olympiad, held annually since 1959, is widely considered the world’s most prestigious mathematics competition for pre-university students. Each participating country sends six elite young mathematicians to compete in solving six exceptionally challenging problems spanning algebra, combinatorics, geometry, and number theory. Only about 8% of human participants typically earn gold medals.
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How Google DeepMind’s Gemini Deep Think cracked math’s toughest problems
Google’s latest success far exceeds its 2024 performance, when the company’s combined AlphaProof and AlphaGeometry systems earned silver medal status by solving four of six problems. That earlier system required human experts to first translate natural language problems into domain-specific programming languages and then interpret the AI’s mathematical output.
This year’s breakthrough came through Gemini Deep Think, an enhanced reasoning system that employs what researchers call “parallel thinking.” Unlike traditional AI models that follow a single chain of reasoning, Deep Think simultaneously explores multiple possible solutions before arriving at a final answer.
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