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AI systems reach gold-medal level at the International Mathematical Olympiad

★★★★★scienceGoogle DeepMindOpenAIconfidence: high

At IMO 2025, an advanced Gemini Deep Think model (officially graded) and an experimental OpenAI reasoning model (graded by former medalists) each solved 5 of 6 problems for 35/42 points — gold-medal standard — working end-to-end in natural language within the 4.5-hour time limits.

Key facts

Science result

Field
mathematics / olympiad problem solving
Problem
International Mathematical Olympiad 2025 problems
Result
Gemini Deep Think (officially graded) and an experimental OpenAI reasoning model each solved 5 of 6 problems for 35/42 — gold-medal standard — in natural language within the 4.5-hour limits.
AI system
Gemini Deep Think, OpenAI experimental reasoning model
Human role
Autonomous during the exam; no human help or formal translation
Verification
Gemini: certified by IMO coordinators; OpenAI: graded by three former IMO medallists (not officially coordinated)
Status
confirmed
Why surprising
In a 2021 public bet Paul Christiano put AI IMO gold by 2025 at under 10% and Eliezer Yudkowsky at about 16%; general-purpose LLMs did it without any formal tools.

What happened

Two general-purpose LLM reasoning systems achieved gold-medal scores at the world's top high-school math competition.

Why it matters

A long-standing AI grand challenge fell years earlier than many forecasters expected, showcasing the power of RL-trained reasoning.

Changelog

  • 2026-09-29: created
  • 2026-09-29: added science block, Aristotle and Seed-Prover formal results; (science & math tab)

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  3. DeepSeekMath-V2: open-weights self-verifying prover reaches IMO 2025 gold level and 118/120 on Putnam 2024 ★★★★
  4. AxiomProver produces machine-checked Lean proofs for all 12 Putnam 2025 problems ★★★

Sources (5)

id: 2025-07-21-imo-gold-ai · updated 2026-09-29 · open in the interactive timeline