# NVIDIA AI Model Usage & Rankings | OpenCode Data

> NVIDIA models processed 33T tokens across OpenCode over the past two months, 2.3% of all usage. nemotron-3-ultra was the most-used NVIDIA model.

- Page: https://opencode.ai/data/nvidia
- JSON: https://opencode.ai/data/nvidia.json
- Updated: 2026-11-12T02:12:07.000Z
- Tokens processed: past 2 months: 33T
- Share of all usage: 2.3%

## NVIDIA models

| Model | Tokens: past 2 months | Share of lab usage | Context window | Max output | Release date |
| --- | --- | --- | --- | --- | --- |
| [Nemotron 3.5 Super 120B A12B](https://opencode.ai/data/nvidia/nemotron-3-5-super-120b-a12b.md) | - | - | 1M | 131K | 2026-10-15 |
| [Nemotron 3.5 Super VL 120B A12B](https://opencode.ai/data/nvidia/nemotron-3-5-super-vl-120b-a12b.md) | - | - | 1M | 8.2K | 2026-10-15 |
| [Nemotron 3.5 Lightning 30B A3B](https://opencode.ai/data/nvidia/nemotron-3-5-lightning.md) | 4.3T | 13% | 262K | 262K | 2026-08-11 |
| [Nemotron 3 Ultra 550B A55B](https://opencode.ai/data/nvidia/nemotron-3-ultra-550b-a55b.md) | - | - | 1M | 128K | 2026-06-04 |
| [Nemotron 3.5 Content Safety](https://opencode.ai/data/nvidia/nemotron-3-5-content-safety.md) | - | - | 128K | 8.2K | 2026-06-02 |
| [Nemotron 3 Nano Omni 30B A3B Reasoning](https://opencode.ai/data/nvidia/nemotron-3-nano-omni-30b-a3b-reasoning.md) | - | - | 256K | 66K | 2026-04-28 |
| [Nemotron Cascade 2 30B A3B](https://opencode.ai/data/nvidia/nemotron-cascade-2-30b-a3b.md) | - | - | 256K | 33K | 2026-03-19 |
| [Nemotron VoiceChat](https://opencode.ai/data/nvidia/nemotron-voicechat.md) | - | - | 128K | 8.2K | 2026-03-16 |
| [Nemotron 3 Content Safety](https://opencode.ai/data/nvidia/nemotron-3-content-safety.md) | - | - | 128K | 4.1K | 2026-03-16 |
| [Nemotron 3 Super 120B A12B](https://opencode.ai/data/nvidia/nemotron-3-super-120b-a12b.md) | - | - | 262K | 262K | 2026-03-11 |
| [Nemotron Content Safety Reasoning 4B](https://opencode.ai/data/nvidia/nemotron-content-safety-reasoning-4b.md) | - | - | 128K | 4.1K | 2026-01-22 |
| [Llama Nemotron Rerank VL 1B v2](https://opencode.ai/data/nvidia/llama-nemotron-rerank-vl-1b-v2.md) | - | - | 10K | 4.1K | 2025-12-18 |
| [Llama Nemotron Embed VL 1B v2](https://opencode.ai/data/nvidia/llama-nemotron-embed-vl-1b-v2.md) | - | - | 10K | 2K | 2025-12-18 |
| [Nemotron 3 Nano 30B A3B](https://opencode.ai/data/nvidia/nemotron-3-nano-30b-a3b.md) | - | - | 262K | 262K | 2025-12-15 |
| [Nemotron Nano 12B v2 VL](https://opencode.ai/data/nvidia/nemotron-nano-12b-v2-vl.md) | - | - | 128K | 128K | 2025-10-28 |
| [Llama 3.1 Nemotron Safety Guard 8B v3](https://opencode.ai/data/nvidia/llama-3-1-nemotron-safety-guard-8b-v3.md) | - | - | 128K | 4.1K | 2025-10-28 |
| [Llama Nemotron Embed 1B v2](https://opencode.ai/data/nvidia/llama-nemotron-embed-1b-v2.md) | - | - | 8.2K | 2K | 2025-10-16 |
| [Nemotron Nano 9B v2](https://opencode.ai/data/nvidia/nemotron-nano-9b-v2.md) | - | - | 131K | 131K | 2025-08-18 |
| [Llama 3.3 Nemotron Super 49B v1.5](https://opencode.ai/data/nvidia/llama-3-3-nemotron-super-49b-v1-5.md) | - | - | 131K | 131K | 2025-07-25 |
| [Mistral Nemotron](https://opencode.ai/data/nvidia/mistral-nemotron.md) | - | - | 128K | 8.2K | 2025-06-11 |
| [Llama 3.1 Nemotron 70B Instruct](https://opencode.ai/data/nvidia/llama-3-1-nemotron-70b-instruct.md) | - | - | 128K | 8.2K | 2025-04-15 |
| [Llama 3.1 Nemotron Ultra 253B](https://opencode.ai/data/nvidia/llama-3-1-nemotron-ultra-253b.md) | - | - | 128K | 8.2K | 2025-04-07 |
| [Llama 3.3 Nemotron Super 49B v1](https://opencode.ai/data/nvidia/llama-3-3-nemotron-super-49b-v1.md) | - | - | 131K | 131K | 2025-03-18 |
| [Nemotron Mini 4B Instruct](https://opencode.ai/data/nvidia/nemotron-mini-4b-instruct.md) | - | - | 128K | 8.2K | 2024-08-21 |

## Daily usage: past 2 months

| Date | Tokens | Unique users |
| --- | --- | --- |
| 2026-09-18 | 618B | 8.5K |
| 2026-09-19 | 553B | 6.3K |
| 2026-09-20 | 535B | 5.6K |
| 2026-09-21 | 524B | 8.2K |
| 2026-09-22 | 543B | 8.7K |
| 2026-09-23 | 344B | 8.2K |
| 2026-09-24 | 440B | 7.5K |
| 2026-09-25 | 674B | 7.5K |
| 2026-09-26 | 757B | 6.8K |
| 2026-09-27 | 703B | 6.8K |
| 2026-09-28 | 705B | 8.2K |
| 2026-09-29 | 507B | 8.7K |
| 2026-09-30 | 496B | 8K |
| 2026-10-01 | 558B | 7.6K |
| 2026-10-02 | 591B | 7.3K |
| 2026-10-03 | 625B | 7K |
| 2026-10-04 | 728B | 6.9K |
| 2026-10-05 | 643B | 8K |
| 2026-10-06 | 600B | 9.3K |
| 2026-10-07 | 667B | 9.1K |
| 2026-10-08 | 677B | 9.7K |
| 2026-10-09 | 733B | 9.7K |
| 2026-10-10 | 780B | 8.4K |
| 2026-10-11 | 838B | 8.6K |
| 2026-10-12 | 874B | 11K |
| 2026-10-13 | 813B | 10K |
| 2026-10-14 | 811B | 10K |
| 2026-10-15 | 709B | 12K |
| 2026-10-16 | 382B | 14K |
| 2026-10-17 | 445B | 18K |
| 2026-10-18 | 870B | 12K |
| 2026-10-19 | 928B | 14K |
| 2026-10-20 | 1.1T | 13K |
| 2026-10-21 | 1.1T | 13K |
| 2026-10-22 | 1T | 14K |
| 2026-10-23 | 918B | 14K |
| 2026-10-24 | 438B | 8.8K |
| 2026-10-25 | 457B | 8.9K |
| 2026-10-26 | 219B | 7.1K |
| 2026-10-27 | 292B | 6.7K |
| 2026-10-28 | 285B | 6.4K |
| 2026-10-29 | 257B | 6.8K |
| 2026-10-30 | 220B | 6.6K |
| 2026-10-31 | 225B | 5.8K |
| 2026-11-01 | 214B | 5.7K |
| 2026-11-02 | 249B | 6.7K |
| 2026-11-03 | 228B | 6.7K |
| 2026-11-04 | 501B | 7.6K |
| 2026-11-05 | 655B | 8.2K |
| 2026-11-06 | 609B | 7.6K |
| 2026-11-07 | 573B | 6.8K |
| 2026-11-08 | 604B | 6.6K |
| 2026-11-09 | 623B | 7.9K |
| 2026-11-10 | 624B | 7.5K |
| 2026-11-11 | 488B | 7.4K |
| 2026-11-12 | 22B | 903 |

## Methodology

- Updates: Aggregated every hour. Days and weeks use UTC.
- Tokens: Input, output, reasoning, and cached tokens for each request.
- Users and sessions: Approximate counts of distinct users and OpenCode sessions.
- Cost: Session cost is the average cost per OpenCode session. Token prices are list prices from the OpenCode model catalog.
- Retention: The share of a model's users in one week who use it again the next week.
- Citation: Cite OpenCode Data (opencode.ai/data) with the update time shown at the top of the page.