LifeEval (Open-Ended): leaderboard

Metric: GPT-5 judge score against the reference answer (0 to 1 in steps of 0.25, shown times 100) on LifeEval's 2,006 open-ended questions, 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
1GPT-572.39#91
2Gemini 2.5 Pro69.32#145
3GPT-5 Mini67.44#176
4Gemini 2.5 Flash64.05#237
5Grok 460.07#169
6GPT-4o55.19#333
7Qwen 3 VL 30B A3B (Thinking)49.24#338 (Qwen 3 VL 30B A3B)
8Qwen 3 VL 30B A3B Instruct48.61#365
9Qwen 3 VL 8B (Thinking)44.96
10Qwen 3 VL 8B Instruct40.61#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 · How It Works · Data refreshed daily, snapshot 2026-10-11.