# GPT-6.1 Sol vs Nemotron 3.5 Lightning 30B A3B - AI Model Comparison

- Page: https://opencode.ai/data/compare/gpt/nemotron
- Updated: 2026-10-12T16:01:19.000Z

|  | GPT-6.1 Sol | Nemotron 3.5 Lightning 30B A3B |
| --- | --- | --- |
| Lab | OpenAI | NVIDIA |
| Context window | 1.1M | 262K |
| Max output | 128K | 262K |
| Input modalities | text, image, pdf | text |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Open weights | No | Yes |
| Release date | 2026-09-29 | 2026-08-11 |
| Input price per 1M tokens | $2.00 | $0.05 |
| Output price per 1M tokens | $10.00 | $0.20 |
| Cached input price per 1M tokens | $0.10 | $0.01 |
| OpenCode tokens: past 2 months | - | 4.6T |
| Share of all tokens | - | 0.5% |
| Rank by tokens last week | - | #13 |
| Unique users | - | 281K |
| Weekly retention | - | - |

Model pages: [GPT-6.1 Sol](https://opencode.ai/data/openai/gpt-6-1-sol.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.