SCORE Robustness (Accuracy) — leaderboard
NVIDIA SCORE evaluates robustness on AGIEval, MATH, and MMLU-Pro under benchmark perturbations, with this view averaging task accuracy.
Metric: Average Accuracy (%). Source: huggingface.co. Status: saturation imminent. 6 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Llama 3.1 70B Instruct | 67.02 |
| 2 | Mistral Large 2 (Jul) | 66.97 |
| 3 | Llama 3 70B Instruct | 58.67 |
| 4 | Yi 1.5 34B Chat | 54.16 |
| 5 | Llama 3.1 8B Instruct | 48.41 |
| 6 | Mistral Nemo Instruct (2407) | 44.72 |
Interactive version: theaggregate.ai/benchmark?slug=score-robustness-accuracy · How the rankings work · Data refreshed daily, snapshot 2026-07-22.