Saad Ullah
⬤ A new open-source AI model just proved that cutting-edge mathematical reasoning doesn't require massive proprietary systems. Nomos 1 scored 87 out of 120 on the 2025 Putnam Exam, landing at an estimated #2 position among 3,988 competitors. That's a remarkable achievement for a model that's publicly available and relatively compact by today's standards.
⬤ What makes this impressive is the model's size—just 30 billion parameters. Nomos 1 aced multiple problems across the exam's notoriously difficult A and B sections, outperforming the qwen3-30b-a3b-thinking-2507 model on several questions. The results show that smart post-training and focused reasoning frameworks matter more than sheer computational power. For the tech industry, including major players in AI development, this signals a shift toward specialized, efficient systems rather than ever-larger general-purpose models.
⬤ The real impact goes beyond academic bragging rights. By making elite-level mathematical reasoning available to anyone, Nomos 1 opens doors for researchers, students, and engineers who previously couldn't access this level of AI capability. You can now tackle complex proofs, check advanced arguments, and work through serious mathematical problems without needing a corporate AI subscription or massive computing resources.
⬤ This matters because it represents how quickly AI reasoning is advancing and becoming democratized. When a freely available model can compete at the highest levels of one of the world's toughest math competitions, it fundamentally changes what's possible in research and innovation. Companies and universities evaluating the next generation of AI tools now have to reconsider their assumptions about what open-source systems can deliver.
Saad Ullah
