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

- Page: https://opencode.ai/data/compare/nvidia/nemotron-3-5-lightning/xai/grok-4-7
- Updated: 2026-10-14T23:21:55.000Z

|  | Nemotron 3.5 Lightning 30B A3B | Grok 4.7 |
| --- | --- | --- |
| Lab | NVIDIA | xAI |
| Context window | 262K | 500K |
| Max output | 262K | 500K |
| Input modalities | text | text, image, pdf |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Open weights | Yes | No |
| Release date | 2026-08-11 | 2026-09-21 |
| Input price per 1M tokens | $0.05 | $2.00 |
| Output price per 1M tokens | $0.20 | $6.00 |
| Cached input price per 1M tokens | $0.01 | $0.50 |
| OpenCode tokens: past 2 months | 4.7T | 38B |
| Share of all tokens | 0.5% | 0% |
| Rank by tokens last week | #10 | #38 |
| Unique users | 281K | 32K |
| Weekly retention | - | 42.5% |

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