# Grok 4.7 vs Nemotron 3.5 Lightning 30B A3B - AI Model Comparison

- Page: https://opencode.ai/data/compare/grok/nemotron
- Updated: 2026-10-13T04:47:03.000Z

|  | Grok 4.7 | Nemotron 3.5 Lightning 30B A3B |
| --- | --- | --- |
| Lab | xAI | NVIDIA |
| Context window | 500K | 262K |
| Max output | 500K | 262K |
| Input modalities | text, image, pdf | text |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Open weights | No | Yes |
| Release date | 2026-09-21 | 2026-08-11 |
| Input price per 1M tokens | $2.00 | $0.05 |
| Output price per 1M tokens | $6.00 | $0.20 |
| Cached input price per 1M tokens | $0.50 | $0.01 |
| OpenCode tokens: past 2 months | 35B | 4.6T |
| Share of all tokens | 0% | 0.5% |
| Rank by tokens last week | #38 | #12 |
| Unique users | 29K | 278K |
| Weekly retention | 42.5% | - |

Model pages: [Grok 4.7](https://opencode.ai/data/xai/grok-4-7.md), [Nemotron 3.5 Lightning 30B A3B](https://opencode.ai/data/nvidia/nemotron-3-5-lightning.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.