NVIDIA
NVIDIA-Nemotron-Nano-9B-v2 is a large language model (LLM) trained from scratch by NVIDIA, and designed as a unified model for both reasoning and non-reasoning tasks. It responds to user queries and...
NVIDIA model catalogRank #426 across 566
No rank
Rank #12 across 371
Percentile score by analysis domain.
* Cost is inverted: lower input, output, and blended prices rank higher.
Higher bars mean stronger relative placement.
| Metric | Domain | Value | Rank |
|---|---|---|---|
| Artificial Analysis Intelligence Index | overall | 7.4 | #426 |
| Artificial Analysis Math Index | math | 62.3 | #114 |
| MMLU-Pro | reasoning | 73.9% | #200 |
| GPQA | reasoning | 55.7% | #363 |
| Humanity's Last Exam |
| reasoning |
| 4.0% |
| #468 |
| LiveCodeBench | coding | 70.1% | #69 |
| SciCode | coding, reasoning | 20.9% | #414 |
| Output Speed | speed | 138.9 tok/s | #89 |
| Time to First Token | speed | 3.06s | #240 |
| Blended Price | cost | $0.086/M | #12 |
| Input Price | cost | $0.050/M | #14 |
| Output Price | cost | $0.195/M | #18 |
| Value Index | cost, overall | 86.0 | #37 |