Researchers benchmarked multiple large language models (AI systems that understand and generate text) against unpublished 2026 International Mathematical Olympiad problems. Frontier models (Claude Sonnet and Claude Opus, made by Anthropic) scored near-perfectly regardless of setup, while open-weight model GLM and mid-tier models performed worse but improved when paired with AutoFyn, a custom multi-agent orchestration system the team developed.
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