Nemotron Labs reports that fine-tuned Nemotron models achieved gold-medal level performance in both the 2026 International Olympiad in Informatics (IOI) and the 2026 International Mathematical Olympiad (IMO). The team utilized supervised fine-tuning, reinforcement learning, and feedback-driven inference to adapt the Nemotron foundation for these specific domains.
- Nemotron-3-Nano-CC reached 468 points at IOI 2025 using the GenCorrect strategy, exceeding the gold threshold of 438.3.
- Nemotron-3-Ultra-CC scored 535.4 out of 600 at IOI 2026 after a single SFT epoch.
- The IMO system scored 30 out of 42 points, exceeding the official gold-medal threshold using natural language proofs without external tools.
- Training involved curating domain-specific data, such as 22,000 coding problems and over 414,000 proof examples.
The results demonstrate that combining capable specialist models with transparent inference workflows allows open-weight models to solve problems at the frontier of human competition.