The 2026 gold medal threshold was 29 points (down from 35 in 2025, reflecting harder problems), and dots-note-3.0 exceeded it by 13 points . For context, only 7 out of 666 human contestants — just over 1% — achieved a perfect score this year .
Multiple reports also note that Huawei separately claimed a 100% score on the same problems, making 2026 the first year two AI systems achieved perfect marks .
The progression has been rapid:
A quick summary:
| Year | AI System | Score / 42 | Medal Level | Notes |
|---|---|---|---|---|
| 2024 | Google DeepMind AlphaProof / AlphaGeometry | 28 | Silver | Solved 4 of 6 problems; formally verified proofs via Lean |
| 2025 | Google DeepMind Gemini Deep Think | 35 | Gold | First AI gold medal; solved 5 of 6 problems |
| 2025 | OpenAI experimental reasoning model | 35 | Gold | Also achieved gold-level score in 2025 |
| 2026 | RedNote dots-note-3.0 | 42 | Gold (perfect) | First perfect score in IMO history |
| 2026 | Huawei AI model | 42 | Gold (perfect) | Also reported 100% on the same problems |
A critical caveat matters: dots-note-3.0 did not sit the official IMO competition alongside the 666 human contestants . The IMO's General Regulations restrict participation to invited countries and human contestants under age 20 . Instead, tech firms are provided with the same problems after human contestants have completed the exam, and their solutions are judged by IMO graders .
In 2025, the IMO committee did not write formal rules for AI participation, which meant each company could define its own testing conditions — leading mathematicians to note this enabled companies to "both set and mark their own homework" . The same informal process applies in 2026. As one analysis put it, dots-note-3.0 "did not enter the competition in the traditional sense" — it solved the problems post-hoc under company-defined testing protocols .
That said, RedNote stated that its model's solutions were submitted for official IMO grading and awarded full points by the same judges who score human contestants . Huawei's model was similarly verified. This provides a meaningful layer of credibility, since the graders are independent and the solutions were judged against the same rubric.
The achievement is genuine in the sense that the model produced correct, IMO-graded solutions to all six problems. But it is not an official IMO medal — the IMO does not formally award medals to AI systems. The comparison to prior AI results is fair because those systems also solved the same problems post-hoc under similar conditions, but all IMO "AI gold medals" should be understood as unofficial, retrospectively judged benchmarks rather than direct wins in a live competition.
The dots-note-3.0 result is nevertheless a significant milestone as the first time any AI has reached a perfect score on a full IMO problem set — a sign that AI mathematical reasoning continues to advance at a remarkable pace, even if the precise meaning of "winning" the IMO remains contested .