CoDyControlBench: leaderboard

CoDyControlBench (2026) asks LLMs to write and tune feedback controllers for 132 simulated dynamical systems of one to six degrees of freedom, with feedback from each closed-loop simulation. A design succeeds when every channel meets the steady-state band and overshoot limits; the score is the percentage of successful designs under the Fixed-3 protocol (three iterations, best design counts). Higher is better.

Metric: Design success rate (%; Fixed-3 protocol: the model always runs three design iterations with feedback and the best successful controller counts; 132 controller-design configurations (1-6 DoF, LTI/LTV/nonlinear systems, coupling, damping, SMC- and PID-family controllers), mean of three independent runs; a design succeeds when every response channel meets the steady-state band and overshoot limits). Source: arxiv.org. Saturation forecast: Estimated already saturated. 6 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.5 (High)94.8#49 (GPT-5.5)
2Gemini 3.1 Pro (Preview)90.4#94
3GLM-5.282.3#138
4Claude Opus 4.858#56
5DeepSeek V4 Pro (High)55.1#188 (DeepSeek V4 Pro)
6Qwen 3.5 397B A17B50#246

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=codycontrolbench · How It Works · Data refreshed daily, snapshot 2026-11-13.