Llama-3.3-nemotron-super-49B-v1.5: benchmark results
Provider: NVIDIA. Access: Open.
Aggregate Rating 1561 ± 33, rank #1535 of 10916 rated models, from 21 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| CareTransition-Audit - Completeness Ranking | 0.47 | Spearman correlation (-1 to 1) between the per-summary docum | 90 |
| SpeechMap Compliance | 87.8 | % Requests Completed | 88.7 |
| MADE - Jaccard | 46 | Sample-level Jaccard index (%, the 0-1 score times 100) betw | 57.1 |
| MADE | 42 | Macro-F1 (%, the 0-1 score times 100) over all 1,154 labels | 53.6 |
| MADE - Head Labels | 57 | Macro-F1 (%, the 0-1 score times 100) over the 144 head labe | 53.6 |
| MADE - Medium Labels | 46 | Macro-F1 (%, the 0-1 score times 100) over the 481 medium la | 53.6 |
| IKP - T2 | 99 | Accuracy (%) | 51 |
| CareTransition-Audit | 0.37 | Cohen kappa (-1 to 1) between the model labels and the clini | 50 |
| MADE - Tail Labels | 38 | Macro-F1 (%, the 0-1 score times 100) over the 348 tail labe | 46.4 |
| MADE - Extreme-Tail Labels | 19 | Macro-F1 (%, the 0-1 score times 100) over the 181 extreme-t | 42.9 |
| AI Chess Leaderboard (Reasoning) | 619 | Elo | 35.8 |
| CareTransition-Audit - Accuracy | 71.9 | Label accuracy (%) against the clinician labels on the 46-qu | 30 |
Interactive version: theaggregate.ai/model?slug=llama-3-3-nemotron-super-49b-v1-5 · How It Works · Data refreshed daily, snapshot 2026-11-08.