Artificial Intelligence Quotient (AIQ) Benchmark: leaderboard
The pursuit of artificial general intelligence necessitates robust methods for evaluating the cognitive capabilities of models beyond narrow task performance. Here, we introduce a psychometric framework to assess the cognitive profiles of generative AI, comparing them to human norms and tracking their evolution across generations. Initial evaluation of leading multimodal models using tasks adapted
Metric: Accuracy (self-reported). Source: benchmarklist.com. Saturation forecast: Around May 2027. 6 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Gemini 3.1 Pro (Preview) | 99.46 | #58 |
| 2 | Gemini 2.5 Flash | 98.4 | #245 |
| 3 | Gemini 3 Flash | 98.37 | #99 |
| 4 | Gemini 2.5 Pro | 97.8 | #152 |
| 5 | Gemini 1.5 Pro | 96.7 | #445 |
| 6 | Gemini 1.5 Flash | 95.7 | #618 |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=artificial-intelligence-quotient-aiq-benchmark · How It Works · Data refreshed daily, snapshot 2026-10-20.