LifeEval (Multiple-Choice) - Safety and Feasibility Assessment: leaderboard

Metric: Accuracy (%) on the 328 multiple-choice Safety and Feasibility Assessment questions of LifeEval, zero-shot, the model sees only the egocentric clip up to the question time (8 uniformly sampled frames for models without native video input), answer in fixed tags; higher is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 26 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro89.02#145
2GPT-584.45#91
3Gemini 2.5 Flash82.62#237
4GPT-5 Mini82.01#176
5Grok 479.88#169
6Qwen 3 VL 30B A3B (Thinking)78.66#338 (Qwen 3 VL 30B A3B)
7GPT-4o77.74#333
8Qwen 3 VL 30B A3B Instruct75.87#365
9Qwen 3 VL 8B (Thinking)73.48
10Qwen 3 VL 8B Instruct66.77#401

No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=lifeeval-multiple-choice-safety-and-feasibility-assessment · How It Works · Data refreshed daily, snapshot 2026-10-11.