LifeEval (Open-Ended) - Static Environment Perception: leaderboard

Metric: GPT-5 judge score against the reference answer (0 to 1 in steps of 0.25, shown times 100) on the 331 open-ended 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 Pro65.86#145
2GPT-5 Mini64.95#176
3GPT-563.67#91
4Gemini 2.5 Flash56.12#237
5Qwen 3 VL 30B A3B Instruct46.95#365
6Grok 446.22#169
7GPT-4o46.15#333
8Qwen 3 VL 30B A3B (Thinking)41.41#338 (Qwen 3 VL 30B A3B)
9Qwen 3 VL 8B (Thinking)39.5
10Qwen 3 VL 8B Instruct37.84#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-open-ended-static-environment-perception · How It Works · Data refreshed daily, snapshot 2026-10-11.