Custom AI Agent Beats Google's Gemini 3 Deep Think in New Benchmark
A custom multi-agent system just outperformed Google's flagship reasoning model.
Deep Dive
A user-built AI system combining GPT-5.2-xHigh and Gemini 3 Pro, using a multi-agent architecture called "Deepthink," has reportedly beaten the latest Gemini 3 Deep Think model in a benchmark. The system employs pure scaffolding and context manipulation techniques. This demonstrates the power of custom agentic workflows over single, monolithic models for complex reasoning tasks, potentially offering a more accessible path to state-of-the-art performance without training a new model from scratch.
Why It Matters
It shows that clever system design can outperform even the most advanced single models, democratizing top-tier AI performance.