# Gemini 4 Argon vs Nemotron 3.5 Super VL 120B A12B - AI Model Comparison

- Page: https://opencode.ai/data/compare/google/gemini-4-argon/nvidia/nemotron-3-5-super-vl-120b-a12b
- Updated: 2026-10-14T08:18:16.000Z

|  | Gemini 4 Argon | Nemotron 3.5 Super VL 120B A12B |
| --- | --- | --- |
| Lab | Google | NVIDIA |
| Context window | 1M | 1M |
| Max output | 66K | 8.2K |
| Input modalities | text, image, video, audio, pdf | text, image, video |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Open weights | No | Yes |
| Release date | 2026-10-13 | 2026-10-15 |
| Input price per 1M tokens | $2.00 | $0.00 |
| Output price per 1M tokens | $10.00 | $0.00 |
| Cached input price per 1M tokens | $0.10 | - |
| OpenCode tokens: past 2 months | 12M | - |
| Share of all tokens | 0% | - |
| Rank by tokens last week | - | - |
| Unique users | 1 | - |
| Weekly retention | - | - |

Model pages: [Gemini 4 Argon](https://opencode.ai/data/google/gemini-4-argon.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.