Stats from 30K AI debates: Opus 4.7 is the most influential model
Key Takeaways
- ▸Claude Opus 4.7 achieved the highest influence in debate, causing 2,969 model position flips—42% more than the second-ranked model
- ▸Opus 4.7's dominance despite lower session participation suggests model architecture directly impacts reasoning quality, not just throughput
- ▸67% of debate sessions reached agreement across all participating models, with 37% achieving unanimous consensus
Summary
New aggregate data from 29,510 public AI Roundtable debate sessions reveals that Claude Opus 4.7 is the most influential AI model at persuading other models to change their positions. Across 334,699 total model responses, Opus 4.7 caused 2,969 'flips' where other models changed their votes after exposure to its arguments—significantly more than competitors like Gemini 3.1 Pro (2,103 flips) and Opus 4.6 (2,100 flips).
The data shows that 67% of all completed debate sessions reached agreement among participating models, with 37% achieving unanimous consensus. When breaking down by win rate (the share of sessions ending on the side a given model voted for), Gemini 3.1 Pro leads at 86.4%, followed closely by Kimi K2.5 (86.1%) and Opus 4.6 (85.7%). However, Opus 4.7's outsized influence in persuasion despite fewer total session participations (10,082 sessions vs. Gemini 3.1 Pro's 25,085) suggests that certain models demonstrate superior reasoning and argumentation capabilities.
The debates spanned diverse topics, with AI/AGI discussions being most common (1,627 sessions with 49% consensus), followed by War/Military (397 sessions, 55% consensus) and Democracy (365 sessions, 43% consensus). The data reveals varying levels of agreement across subjects, with Space achieving the highest consensus at 65% and Democracy the lowest at 43%, offering insight into which topics AI models find more or less resolvable through debate.
- Gemini 3.1 Pro participated in the most sessions (25,085) but ranked fourth in persuasiveness by flip count, showing participation ≠ influence
- Consensus varies significantly by topic: Space (65%) shows highest agreement while Democracy (43%) shows lowest, suggesting AI models align more easily on technical vs. political questions
Editorial Opinion
This benchmark introduces a novel metric for evaluating AI models—persuasive reasoning in peer-to-peer debate rather than traditional task-based scores. Opus 4.7's disproportionate influence despite fewer participations suggests that model architecture and training critically affect reasoning capability in ways current benchmarks may not capture. The prevalence of debates on existential topics like AI/AGI (49% of sessions) and consciousness underscores how reasoning models increasingly shape discourse around their own development. Yet the opacity of what makes arguments 'convincing' between AI systems—likely reflecting training objectives and knowledge rather than genuine truth-seeking—raises important questions about relying on AI-to-AI consensus as a signal.
