# LongCat-2.0 vs Nemotron 3.5 Super VL 120B A12B - AI Model Comparison

- Page: https://opencode.ai/data/compare/meituan/longcat-2-0/nvidia/nemotron-3-5-super-vl-120b-a12b
- Updated: 2026-10-14T23:21:55.000Z

|  | LongCat-2.0 | Nemotron 3.5 Super VL 120B A12B |
| --- | --- | --- |
| Lab | Meituan | NVIDIA |
| Context window | 1M | 1M |
| Max output | 131K | 8.2K |
| Input modalities | text | text, image, video |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Open weights | No | Yes |
| Release date | 2026-06-30 | 2026-10-15 |
| Input price per 1M tokens | $0.30 | $0.00 |
| Output price per 1M tokens | $1.20 | $0.00 |
| Cached input price per 1M tokens | $0.0060 | - |
| OpenCode tokens: past 2 months | 464B | - |
| Share of all tokens | 0.1% | - |
| Rank by tokens last week | #30 | - |
| Unique users | 53K | - |
| Weekly retention | 64.8% | - |

Model pages: [LongCat-2.0](https://opencode.ai/data/meituan/longcat-2-0.md), [Nemotron 3.5 Super VL 120B A12B](https://opencode.ai/data/nvidia/nemotron-3-5-super-vl-120b-a12b.md)

## 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.