# Nemotron 3.5 Super 120B A12B vs Grok 4.6 - AI Model Comparison

- Page: https://opencode.ai/data/compare/nvidia/nemotron-3-5-super-120b-a12b/xai/grok-4-6
- Updated: 2026-10-21T06:53:33.000Z

|  | Nemotron 3.5 Super 120B A12B | Grok 4.6 |
| --- | --- | --- |
| Lab | NVIDIA | xAI |
| Context window | 1M | 500K |
| Max output | 131K | 500K |
| Input modalities | text | text, image |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Open weights | Yes | No |
| Release date | 2026-10-15 | 2026-08-12 |
| Input price per 1M tokens | - | $2.00 |
| Output price per 1M tokens | - | $6.00 |
| Cached input price per 1M tokens | - | $0.50 |
| OpenCode tokens: past 2 months | - | 75B |
| Share of all tokens | - | 0.0% |
| Rank by tokens last week | - | #43 |
| Unique users | - | 61K |
| Weekly retention | - | 41.3% |

Model pages: [Nemotron 3.5 Super 120B A12B](https://opencode.ai/data/nvidia/nemotron-3-5-super-120b-a12b.md), [Grok 4.6](https://opencode.ai/data/xai/grok-4-6.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.