# nemotron-3.5-super-vl vs GPT-6 Luna - AI Model Comparison

- Page: https://opencode.ai/data/compare/nvidia/nemotron-3-5-super-vl/openai/gpt-6-luna
- Updated: 2026-10-17T05:29:32.000Z

|  | nemotron-3.5-super-vl | GPT-6 Luna |
| --- | --- | --- |
| Lab | NVIDIA | OpenAI |
| Context window | - | 1.1M |
| Max output | - | 128K |
| Input modalities | - | text, image, pdf |
| Reasoning | - | Yes |
| Tool calling | - | Yes |
| Open weights | - | No |
| Release date | - | 2026-09-22 |
| Input price per 1M tokens | - | $0.10 |
| Output price per 1M tokens | - | $0.50 |
| Cached input price per 1M tokens | - | $0.01 |
| OpenCode tokens: past 2 months | 456B | 2.3T |
| Share of all tokens | 0.0% | 0.2% |
| Rank by tokens last week | #14 | #12 |
| Unique users | 9.3K | 403K |
| Weekly retention | - | 65.2% |

Model pages: [nemotron-3.5-super-vl](https://opencode.ai/data/nvidia/nemotron-3-5-super-vl.md), [GPT-6 Luna](https://opencode.ai/data/openai/gpt-6-luna.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.