PerceptionComp: leaderboard

Metric: Accuracy (%) on the 1,114 five-choice PerceptionComp questions over 279 high-scene-complexity videos (seven domains), each needing evidence from several temporally separated moments; native video input where supported, otherwise 64 (some GPT APIs 50) uniformly sampled frames; proprietary and thinking models prompted with chain of thought, instruction-tuned open models answering directly; higher is better. Source: arxiv.org. Saturation forecast: Around 2028. 23 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Flash45.96#93
2Gemini 3 Pro44.43#77
3Gemini 2.5 Pro44.34#145
4Seed 2.0 Pro44.34#111
5Gemini 3.1 Pro (Preview)43.72#54
6O343.54#121
7GPT-5.240.75#105
8Qwen 3 VL 235B A22B (Thinking)38.2#228 (Qwen 3 VL 235B A22B)
9Gemini 2.5 Flash38.15#237
10GLM-4.5V36.69#339
11GPT-536.45#91
12Qwen 3 VL 30B A3B (Thinking)35.68#338 (Qwen 3 VL 30B A3B)
13Qwen 3 VL 30B A3B Instruct34.38#365
14GPT-4.134.02#240
15Qwen 3 VL 235B A22B Instruct34.02#264

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

Interactive version: theaggregate.ai/benchmark?slug=perceptioncomp · How It Works · Data refreshed daily, snapshot 2026-10-11.