# deepseek-v4.1-flash-1017-op vs Nemotron 3.5 Lightning 30B A3B - AI Model Comparison

- Page: https://opencode.ai/data/compare/deepseek/deepseek-v4-1-flash-1017-op/nvidia/nemotron-3-5-lightning
- Updated: 2026-11-06T01:14:32.000Z

|  | deepseek-v4.1-flash-1017-op | Nemotron 3.5 Lightning 30B A3B |
| --- | --- | --- |
| Lab | DeepSeek | NVIDIA |
| Context window | - | 262K |
| Max output | - | 262K |
| Input modalities | - | text |
| Reasoning | - | Yes |
| Tool calling | - | Yes |
| Open weights | - | Yes |
| Release date | - | 2026-08-11 |
| Input price per 1M tokens | - | $0.07 |
| Output price per 1M tokens | - | $0.20 |
| Cached input price per 1M tokens | - | $0.04 |
| OpenCode tokens: past 2 months | 1.3T | 4.1T |
| Share of all tokens | 0.1% | 0.3% |
| Rank by tokens last week | #8 | #12 |
| Unique users | 34K | 181K |
| Weekly retention | - | - |

Model pages: [deepseek-v4.1-flash-1017-op](https://opencode.ai/data/deepseek/deepseek-v4-1-flash-1017-op.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.