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 #424 across 600
No rank
Rank #10 across 379
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 | 8.8 | #424 |
| Artificial Analysis Math Index | math | 69.7 | #97 |
| MMLU-Pro | reasoning | 74.2% | #166 |
| GPQA | reasoning | 57.0% | #370 |
| Humanity's Last Exam |
| reasoning |
| 4.6% |
| #424 |
| LiveCodeBench | coding | 72.4% | #59 |
| SciCode | coding, reasoning | 22.0% | #421 |
| Output Speed | speed | 236.2 tok/s | #14 |
| Time to First Token | speed | 3.45s | #125 |
| Blended Price | cost | $0.070/M | #10 |
| Input Price | cost | $0.040/M | #9 |
| Output Price | cost | $0.160/M | #15 |
| Value Index | cost, overall | 125.7 | #28 |