NVIDIA-Nemotron-3-Super-120B-A12B-BF16: benchmark scores, price and ranking
NVIDIA-Nemotron-3-Super-120B-A12B-BF16 from nvidia ranks #83 of 743 LLMs on the LLMs Tiger aggregate benchmark score (52.0), based on 2 benchmark results captured up to 2026-10-13.
- Organisation
- nvidia
- Type
- Open-weight / local model
- Open weights
- Yes
- Aggregate rank
- #83 of 743 (score 52.0)
Across the 2 benchmarks where at least ten models are scored, NVIDIA-Nemotron-3-Super-120B-A12B-BF16 is in the top 10% on 0 and in the top half on 2.
NVIDIA-Nemotron-3-Super-120B-A12B-BF16 benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| MMLU-Pro | 83.7% | #19 of 136 | HuggingFace MMLU-Pro leaderboard | 2026-10-13 |
| GPQA Diamond | 79.2% | #108 of 275 | HuggingFace GPQA Diamond leaderboard | 2026-10-13 |
About NVIDIA-Nemotron-3-Super-120B-A12B-BF16
NVIDIA-Nemotron-3-Super-120B-A12B-BF16 is an open-weight model that can run on your own hardware from nvidia. No API price is listed for it yet. We hold 2 benchmark results for it across 1 area, and none is in the top tenth of its board.
Where NVIDIA-Nemotron-3-Super-120B-A12B-BF16 stands
On our aggregate score, NVIDIA-Nemotron-3-Super-120B-A12B-BF16 is #83 of 743 ranked models, in the top quarter. Its score is 52.0; the scale is centred on 50, so it sits 2.0 points above the typical model. That beats 89% of the ranked field. Among the 9 ranked nvidia models it is #3. The next one up is NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 at 53.1. The next one down is NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16 at 51.5.
NVIDIA-Nemotron-3-Super-120B-A12B-BF16, benchmark by benchmark
MMLU-Pro puts NVIDIA-Nemotron-3-Super-120B-A12B-BF16 at 83.7%, #19 of 136. That beats 86% of the models tested, but 4.4 points short of Darwin-180B-RSI (88.1%). The results either side are K-EXAONE-236B-A23B (83.8%) and Intern-S1 (83.5%). It covers 57-subject knowledge + reasoning. The board median is 55.3%, so NVIDIA-Nemotron-3-Super-120B-A12B-BF16 is 28.5 points above it. Source: HuggingFace MMLU-Pro leaderboard, captured 2026-10-13.
On GPQA Diamond, NVIDIA-Nemotron-3-Super-120B-A12B-BF16 reaches 79.2%. It ranks #108 of 275, ahead of 61% of the field, and 16.5 points behind GPT-6 Astra (max) at 95.8%. The results either side are o4-mini (high) (79.6%) and claude-sonnet-4-20250514_59K (79.2%). It covers expert-level science questions. The board median is 71.7%, so NVIDIA-Nemotron-3-Super-120B-A12B-BF16 is 7.5 points above it. Source: HuggingFace GPQA Diamond leaderboard, captured 2026-10-13.
Strengths and weaknesses
Reasoning, maths and science: solid, ahead of 73% of the field on average across 2 benchmarks. Its best board here is MMLU-Pro (#19 of 136) and its weakest is GPQA Diamond (#108 of 275).
Reading these numbers
The 2 scores on this page come from 2 sources: HuggingFace GPQA Diamond leaderboard (1), HuggingFace MMLU-Pro leaderboard (1). No official leaderboard supplied any of them, so treat them as third-party measurements. With 2 results the aggregate rank can move a lot when one new score arrives.
Models ranked nearby
- #80 gpt-5.2-2025-12-11-high (52.1)
- #81 EXAONE-4.5-33B (52.1)
- #82 Claude Haiku 5.5 (max) (52.1)
- #84 K-EXAONE-236B-A23B (52.0)
- #85 Grok 4.5 (high) (52.0)
- #86 Darwin-398B-JGOS (52.0)
More from nvidia
- NVIDIA-Nemotron-3-Ultra-550B-A55B-NVFP4 (#40, 53.1)
- NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 (#44, 53.1)
- NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16 (#114, 51.5)
- NVIDIA-Nemotron-3.5-Lightning-30B-A3B-NVFP4 (#117, 51.5)
- NVIDIA-Nemotron-3-Super-120B-A12B-FP8 (#181, 50.5)
- Nemotron-Cascade-2-30B-A3B (#194, 50.4)
Compare it on the live leaderboard → · How the aggregate score works