Nemotron-Cascade-2-30B-A3B: benchmark scores, price and ranking
Nemotron-Cascade-2-30B-A3B from nvidia ranks #194 of 743 LLMs on the LLMs Tiger aggregate benchmark score (50.4), based on 1 benchmark results captured up to 2026-10-13.
- Organisation
- nvidia
- Type
- Open-weight / local model
- Open weights
- Yes
- Aggregate rank
- #194 of 743 (score 50.4)
Across the 1 benchmark where at least ten models are scored, Nemotron-Cascade-2-30B-A3B is in the top 10% on 0 and in the top half on 1.
Nemotron-Cascade-2-30B-A3B benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| GPQA Diamond | 76.1% | #122 of 275 | HuggingFace GPQA Diamond leaderboard | 2026-10-13 |
About Nemotron-Cascade-2-30B-A3B
Nemotron-Cascade-2-30B-A3B is an open-weight model that can run on your own hardware from nvidia. No API price is listed for it yet. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.
Where Nemotron-Cascade-2-30B-A3B stands
On our aggregate score, Nemotron-Cascade-2-30B-A3B is #194 of 743 ranked models, around the middle of the table. Its score is 50.4; the scale is centred on 50, so it sits 0.4 points above the typical model. That beats 74% of the ranked field. Among the 9 ranked nvidia models it is #7. The next one up is NVIDIA-Nemotron-3-Super-120B-A12B-FP8 at 50.5. The next one down is NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16 at 49.2.
Nemotron-Cascade-2-30B-A3B, benchmark by benchmark
GPQA Diamond puts Nemotron-Cascade-2-30B-A3B at 76.1%, #122 of 275. That beats 56% of the models tested, but 19.7 points short of GPT-6 Astra (max) (95.8%). The results either side are Claude Opus 4 (76.3%) and claude-sonnet-4-20250514_16K (75.8%). It covers expert-level science questions. The board median is 71.7%, so Nemotron-Cascade-2-30B-A3B is 4.4 points above it. Source: HuggingFace GPQA Diamond leaderboard, captured 2026-10-13.
Reading these numbers
The 1 score on this page comes from 1 source: HuggingFace GPQA Diamond leaderboard (1). No official leaderboard supplied any of them, so treat them as third-party measurements. With 1 results the aggregate rank can move a lot when one new score arrives.
Models ranked nearby
- #191 nousresearch/hermes-3-llama-3.1-405b (50.4)
- #192 ollama/Qwen2.5.1-Coder-7B-Instruct-GGUF:Q8_0-32k (50.4)
- #193 Claude 3.7 Sonnet (64k thinking) (50.4)
- #195 DeepSeek-V3.2-Speciale (50.4)
- #196 gemini-2.5-flash-preview-04-17 (50.4)
- #197 Claude 4.5 Haiku (50.3)
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-Super-120B-A12B-BF16 (#83, 52.0)
- 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)
Compare it on the live leaderboard → · How the aggregate score works