First Documented Proof of Cross-Vendor AI Collaboration on a Benchmark: Multi-AI Consensus Achieves Best-Ever 50% on IMO 2025

First documented instance of multiple frontier AI systems from different vendors (Claude, GPT-4, Grok, Gemini, DeepSeek, Kimi) collaborating in real-time to solve mathematical olympiad problems. Achieved 50% accuracy (3/6 problems correct) on IMO 2025, an 18.4 percentage point improvement over Gemini baseline. Notably, Gemini alone solved 0/6 problems in our trials, with all three correct answers emerging from cross-AI collaboration and consensus voting. This work demonstrates that multi-vendor AI collaboration can exceed individual model performance on the hardest mathematical reasoning benchmarks, and introduces a novel "Family Game Night" protocol for fallback reasoning when primary models fail.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-29
DOI
https://doi.org/10.5281/zenodo.17903603
Citations
2
Primary Topic
Topic Modeling
Type
article
Field-Weighted Citation Impact
4.96
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article

First Documented Proof of Cross-Vendor AI Collaboration on a Benchmark: Multi-AI Consensus Achieves Best-Ever 50% on IMO 2025

2 citations
Zenodo (CERN European Organization for Nuclear Research)
Topic Modeling
4.96
article

First Documented Proof of Cross-Vendor AI Collaboration on a Benchmark: Multi-AI Consensus Achieves Best-Ever 50% on IMO 2025

article en
2 citations

Abstract

First documented instance of multiple frontier AI systems from different vendors (Claude, GPT-4, Grok, Gemini, DeepSeek, Kimi) collaborating in real-time to solve mathematical olympiad problems. Achieved 50% accuracy (3/6 problems correct) on IMO 2025, an 18.4 percentage point improvement over Gemini baseline. Notably, Gemini alone solved 0/6 problems in our trials, with all three correct answers emerging from cross-AI collaboration and consensus voting. This work demonstrates that multi-vendor AI collaboration can exceed individual model performance on the hardest mathematical reasoning benchmarks, and introduces a novel "Family Game Night" protocol for fallback reasoning when primary models fail.

Zenodo (CERN European Organization for Nuclear Research)
Namseoul University (KR)
Partnerships for the goals
Openalex Percentile: Top 4%
Topic Modeling
4.96
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