Minerva-Ego: leaderboard
Video reasoning models are a core component of egocentric and embodied agents. However, standard benchmarks for assessing models provide only evaluation of the output (e.g. the answer to a question), without evaluation of intermediate reasoning steps, and most provide answers only in the text domain. We introduce Minerva-Ego, a benchmark for evaluating complex egocentric visual reasoning. We exten
Metric: MCQ-Acc. % (self-reported). Source: benchmarklist.com. Saturation forecast: Around December 2026. 8 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Gemini 2.5 Pro | 40.1 | #152 |
| 2 | GPT-5 | 37.6 | #98 |
| 3 | Gemini 2.5 Flash | 35.6 | #245 |
| 4 | GPT-4.1 | 30.8 | #248 |
| 5 | Claude Sonnet 4 | 30.5 | #199 |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=minerva-ego · How It Works · Data refreshed daily, snapshot 2026-10-20.