Sora 2

Each result implies a score on its own, after adjusting for how hard its test is and who ran it. The score is their weighted average, with a small pull toward the middle for thinly tested models. Each test's weight is its counts column above; here it's added up by who ran the tests. How it works

source	results	share of the score	licence
LMArena leaderboard dataset	1	▇▇▇▇▇▇▇▇▇▇▇▇ 39%	CC BY 4.0
WorldReasonBench: Human-Aligned Stress Testing of Video Generators as Future World-State Predictors (arXiv v1)	1	▇▇▇▇▇▇▇▇ 27%	CC-BY-4.0
Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets?	1	▇▇▇ 9%	CC-BY-4.0
VGI-Bench: Probing Visual Intelligence in Video Generation Models	1	▇ 5%	CC-BY-4.0
From Evaluation to Enhancement: Benchmarking and Improving Think-with-Video Reasoning for Video Generative Models (VWG-Bench)	1	▇ 4%	CC-BY-4.0
VideoVerse: Does Your T2V Generator Have World Model Capability to Synthesize Videos?	1	▇ 4%	CC-BY-4.0
VABench: A Comprehensive Benchmark for Audio-Video Generation (arXiv:2512.09299v2)	1	▇ 3%	CC-BY-4.0
Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains	1	▇ 3%	CC-BY-4.0
Physics-IQ Verified	1	▇ 2%	CC-BY-4.0
V-ReasonBench: Toward Unified Reasoning Benchmark Suite for Video Generation Models	1	▇ 1%	CC-BY-4.0
HumanScore: Benchmarking Human Motions in Generated Videos	1	▇ 1%	CC-BY-4.0
prior · pull toward the middle		▇ 1%
weighted average		= 65.1