# MiniMax-M3.1-Flash vs Nemotron 3.5 Super VL 120B A12B - AI Model Comparison

- Page: https://opencode.ai/data/compare/minimax/minimax-m3-1-flash/nvidia/nemotron-3-5-super-vl-120b-a12b
- Updated: 2026-10-21T06:53:33.000Z

|  | MiniMax-M3.1-Flash | Nemotron 3.5 Super VL 120B A12B |
| --- | --- | --- |
| Lab | MiniMax | NVIDIA |
| Context window | 1M | 1M |
| Max output | 512K | 8.2K |
| Input modalities | text, image, video | text, image, video |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Open weights | No | Yes |
| Release date | 2026-10-19 | 2026-10-15 |
| Input price per 1M tokens | $0.15 | $0.00 |
| Output price per 1M tokens | $0.60 | $0.00 |
| Cached input price per 1M tokens | $0.01 | - |
| OpenCode tokens: past 2 months | 169T | - |
| Share of all tokens | 16% | - |
| Rank by tokens last week | #2 | - |
| Unique users | 844K | - |
| Weekly retention | 75.6% | - |

Model pages: [MiniMax-M3.1-Flash](https://opencode.ai/data/minimax/minimax-m3-1-flash.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.