LifeEval (Multiple-Choice) - Static Environment Perception: leaderboard

Metric: Accuracy (%) on the 335 multiple-choice Static Environment Perception 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: Around January 2027. 26 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro83.28#145
2GPT-579.1#91
3GPT-5 Mini77.31#176
4Grok 471.94#169
5Gemini 2.5 Flash71.04#237
6GPT-4o68.06#333
7Qwen 3 VL 30B A3B (Thinking)61.49#338 (Qwen 3 VL 30B A3B)
8Qwen 3 VL 30B A3B Instruct60.39#365
9Qwen 3 VL 8B (Thinking)59.1
10Qwen 3 VL 8B Instruct52.84#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-static-environment-perception · How It Works · Data refreshed daily, snapshot 2026-10-11.