NVIDIA
NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accuracy in complex multi-agent applications. It delivers up to 7x higher throughput, providing fast, cost-efficient inference for agentic tasks. Additionally, a long context window gives the model long-term memory, preventing AI agents from losing focus on long, multi-step tasks and ensuring high-accuracy results. Fully open with weights, datasets, and recipes, Super allows easy customization and secure deployment anywhere.
NVIDIA model catalogRank #199 across 600
Rank #147 across 266
Rank #93 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 | 25.4 | #199 |
| Artificial Analysis Coding Index | coding | 37.7 | #147 |
| GPQA | reasoning | 80.0% | #156 |
| Humanity's Last Exam | reasoning | 19.2% | #121 |
| SciCode |
| coding, reasoning |
| 36.0% |
| #237 |
| Output Speed | speed | 145.8 tok/s | #47 |
| Time to First Token | speed | 1.07s | #71 |
| Blended Price | cost | $0.350/M | #93 |
| Input Price | cost | $0.200/M | #95 |
| Output Price | cost | $0.800/M | #100 |
| Value Index | cost, overall | 72.6 | #61 |