# Mistral Medium 3.5 vs Nemotron 3.5 Super VL 120B A12B - AI Model Comparison

- Page: https://opencode.ai/data/compare/mistral/mistral-medium-3-5/nvidia/nemotron-3-5-super-vl-120b-a12b

|  | Mistral Medium 3.5 | Nemotron 3.5 Super VL 120B A12B |
| --- | --- | --- |
| Lab | Mistral | NVIDIA |
| Context window | 262K | 1M |
| Max output | 210K | 8.2K |
| Input modalities | text, image, pdf | text, image, video |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Open weights | No | Yes |
| Release date | 2026-04-30 | 2026-10-15 |
| Input price per 1M tokens | $1.50 | $0.00 |
| Output price per 1M tokens | $7.50 | $0.00 |
| Cached input price per 1M tokens | $0.15 | - |
| OpenCode tokens: past 2 months | - | - |
| Share of all tokens | - | - |
| Rank by tokens last week | - | - |
| Unique users | - | - |
| Weekly retention | - | - |

Model pages: [Mistral Medium 3.5](https://opencode.ai/data/mistral/mistral-medium-3-5.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.