PhysCodeBench - Physical Assertion Pass Rate: leaderboard
Metric: Physical-assertion pass rate (%): share of the 436 expert-written executable physical assertions (one to three per test instruction, read from the engine state) that pass, counting every assertion of a program that fails to execute as failed, for Genesis physics-simulation programs generated zero-shot from natural-language scene descriptions on the 200-example PhysCodeBench test set (mean of five attempts, temperature 0.1, 4,096-token cap), with the engine documentation in context (the full 100K-token corpus for long-context models, 20K tokens of BM25-retrieved sections for 32K-context models); higher is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 7 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Claude 3.5 Sonnet | 23.8 |
| 2 | GPT-4o | 21.6 |
| 3 | DeepSeek R1 | 17.9 |
| 4 | DeepSeek R1 Distill Qwen 32B | 16.2 |
| 5 | QwQ-32B | 7.4 |
Interactive version: theaggregate.ai/benchmark?slug=physcodebench-physical-assertion-pass-rate · How It Works · Data refreshed daily, snapshot 2026-10-07.