SimuScene (Pass@8): leaderboard

Metric: Pass@8 accuracy (%): share of scenarios with at least one of eight responses passing every verification question; the model writes Python code for an animation of each of SimuScene's 334 human-verified physics scenarios (52 concepts in mechanics, electromagnetism, optics, fluid mechanics and thermodynamics); the code is run, the video rendered, and Qwen2.5-VL-72B-Instruct answers the scenario's visual verification questions; a response counts only when every question is answered true; eight responses per scenario, default settings with thinking enabled; higher is better. Source: arxiv.org. Saturation forecast: Around February 2027. 10 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5 (Medium)59.9#91 (GPT-5)
2DeepSeek R1 052852.7#217
3O345.2#121
4O4 Mini42.5#172
5Qwen 3 235B A22B (Thinking)41#304 (Qwen 3 235B A22B)
6DeepSeek V3.1 (Thinking)40.7#260 (DeepSeek V3.1)
7Gemini 2.5 Pro37.4#145
8GPT-OSS-120B37.4#330
9GPT-OSS-20B32#499
10Qwen 3 32B (Thinking)30.5#424 (Qwen 3 32B)

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

Interactive version: theaggregate.ai/benchmark?slug=simuscene-pass-8 · How It Works · Data refreshed daily, snapshot 2026-10-11.