# MAI-Code-1-Flash vs Nemotron 3.5 Super VL 120B A12B - AI Model Comparison

- Page: https://opencode.ai/data/compare/microsoft/mai-code-1-flash/nvidia/nemotron-3-5-super-vl-120b-a12b

|  | MAI-Code-1-Flash | Nemotron 3.5 Super VL 120B A12B |
| --- | --- | --- |
| Lab | Microsoft | NVIDIA |
| Context window | 256K | 1M |
| Max output | 128K | 8.2K |
| Input modalities | text | text, image, video |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Open weights | No | Yes |
| Release date | 2026-06-02 | 2026-10-15 |
| Input price per 1M tokens | - | $0.00 |
| Output price per 1M tokens | - | $0.00 |
| Cached input price per 1M tokens | - | - |
| OpenCode tokens: past 2 months | - | - |
| Share of all tokens | - | - |
| Rank by tokens last week | - | - |
| Unique users | - | - |
| Weekly retention | - | - |

Model pages: [MAI-Code-1-Flash](https://opencode.ai/data/microsoft/mai-code-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.