NVIDIA AI
56 models across 16 families · Latest: Nemotron 3.5 Super VL (2026-10)
Accelerated AI for enterprise solutions
NVIDIA AI's portfolio covers 53 active models across 15 current families, spanning coding, rag, and agents. Open a model detail page to compare provider routes and sourced benchmarks.
Covers 7 workload areas across 53 active tracked models; last verified 2026-10-17.
Use it for
- Teams evaluating coding, rag, and agents across this lab's releases
- Comparing model families before committing to a flagship
- Migration and pricing follow-ups across 53 tracked models
Do not use it for
- Choosing a hosting provider without opening a model page for price ladders
Active models
53
Current models from this lab, excluding deprecated ones
Active families
15
Current model families from this lab
Open catalog
50 open
0 open source / 50 open weights
Lowest output price
$0.160 /1M
Cheapest tracked output across active models, per 1M tokens
Latest dated release
2026-10-15
Nemotron 3.5 Super VL
Freshness
2026-10-17
Researched today
Information
Release cadence
- Dated releases
- 5
- Latest model
- Nemotron 3.5 Super VL
- Latest date
- 2026-10-15
Where this lab wins
- Coding: 7 tracked models with SWE-bench / HumanEval-style scores.
- RAG: 7 tracked models with ruler / needle retrieval benchmarks.
- Agentic: 9 tracked models with BFCL, tau-bench, and SWE-bench tool-use coverage.
- Long-context: 19 tracked models with context-token or InfiniteBench-class signal.
Flagship quality / price signal
- Flagship
- Nemotron 3.5 Super VL
- Selection source
- Best sourced coding Q/$
- Coding grade
- A
- Benchmark / output price
- livecodebench 88.22 · $0.000/1M
About
NVIDIA's journey into the realm of artificial intelligence, specifically in the areas of generative AI and large language models (LLMs), is marked by a series of strategic innovations that have equipped the company to lead in the AI landscape. Originally renowned for its high-quality graphics processing units (GPUs) used in gaming and multimedia, NVIDIA shifted gears to address the demands of AI, focusing on quality over sheer volume. This strategic pivot, underscored by the development of pioneering technologies, has attracted tech giants such as Microsoft, Amazon, and Facebook as customers, and has become instrumental in powering large-scale AI applications.
Featured models
| Model | Released | Context | Input price ($/1M) | Output price ($/1M) | License | Openness |
|---|---|---|---|---|---|---|
| Nemotron 3.5 Super VL | 2026-10-15 | 1M | $0 | $0 | OpenMDW 1.1 | Open weights |
| Nemotron 3.5 Bolt 74B-A9B | 2026-10-15 | 256K | - | - | OpenMDW 1.1 | Open weights |
| Nemotron 3.5 Lightning | 2026-08-11 | 1M | $0.06 | $0.16 | OpenMDW 1.1 | Open weights |
Model families
Recent releases
- Nemotron 3.5 Super VL- 2026-10-15
- Nemotron 3.5 Bolt 74B-A9B- 2026-10-15
- Nemotron 3.5 Lightning- 2026-08-11
- Nemotron-Labs TwoTower 30B-A3B Base- 2026-06-25
- Nemotron 3 Ultra- 2026-06-04
Top comparisons
- Llama 3.2 NV RerankQA 1B v2 vs Llama 3.3 Nemotron Super 49B v1246
- Hunyuan Hy3 Preview vs Llama 3.3 Nemotron Super 49B v1237
- Gemma 3 vs Nemotron 3 Nano Omni221
- Hunyuan Hy3 Preview vs Nemotron Mini 4B Instruct202
- Llama 3.1 NemoGuard 8B Content Safety vs text-curie68
- Llama 3.1 NemoGuard 8B Content Safety vs ShieldGemma 9B65
- Llama 3.2 NV EmbedQA 1B v2 vs MiniCPM 2B57
- Llama 3.3 Nemotron Super 49B v1 vs Nemotron Mini 4B Instruct55
Explore related pages
Last reviewed: 2026-10-17. Data sourced from public lab announcements and provider documentation.