LifeEval (Multiple-Choice) - Multi-turn Interactive Collaboration: leaderboard

Metric: Accuracy (%) on the 269 multiple-choice Multi-turn Interactive Collaboration 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 Pro89.68#145
2GPT-587.92#91
3GPT-5 Mini86.25#176
4GPT-4o82.87#333
5Gemini 2.5 Flash81.32#237
6Grok 480.27#169
7Qwen 3 VL 30B A3B (Thinking)78.78#338 (Qwen 3 VL 30B A3B)
8Qwen 3 VL 30B A3B Instruct78.09#365
9Qwen 3 VL 8B (Thinking)74.44
10Qwen 3 VL 8B Instruct70.35#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-multi-turn-interactive-collaboration · How It Works · Data refreshed daily, snapshot 2026-10-11.