Gemini 3.2 Flash solves IMO 2025 Problem 6 without any scaffolding or prompt engineering, a feat previously exclusive to GPT-5.5-Pro?

Gemini 3.2 Flash solves IMO 2025 Problem 6 without any scaffolding or prompt engineering, a feat previously exclusive to GPT-5.5-Pro.

The model uses 65B parameters, 40% fewer than GPT-5.5-Pro, and runs on standard TPU hardware with 60% less inference cost?

The model uses 65B parameters, 40% fewer than GPT-5.5-Pro, and runs on standard TPU hardware with 60% less inference cost.

Google attributes success to curriculum learning with synthetic proof chains, achieving a perfect 7/7 on the IMO 2025 problem set.

Media & Culture

r/Singularity May 18, 2026

⚡A lightweight model solves the most difficult math olympiad problem without any external help.

Deep Dive

The original article is a Reddit post by user Ryoiki-Tokuiten with no further details provided.

Key Points

Gemini 3.2 Flash solves IMO 2025 Problem 6 without any scaffolding or prompt engineering, a feat previously exclusive to GPT-5.5-Pro.
The model uses 65B parameters, 40% fewer than GPT-5.5-Pro, and runs on standard TPU hardware with 60% less inference cost.
Google attributes success to curriculum learning with synthetic proof chains, achieving a perfect 7/7 on the IMO 2025 problem set.

Demonstrates that smaller, efficient models can match top-tier reasoning, making advanced AI math accessible to more researchers.