# DeepSeek V4 Pro vs nemotron-3.5-super-vl - AI Model Comparison

- Page: https://opencode.ai/data/compare/deepseek/deepseek-v4-pro/nvidia/nemotron-3-5-super-vl
- Updated: 2026-10-18T07:39:46.000Z

|  | DeepSeek V4 Pro | nemotron-3.5-super-vl |
| --- | --- | --- |
| Lab | DeepSeek | NVIDIA |
| Context window | 1M | - |
| Max output | 384K | - |
| Input modalities | text | - |
| Reasoning | Yes | - |
| Tool calling | Yes | - |
| Open weights | Yes | - |
| Release date | 2026-04-24 | - |
| Input price per 1M tokens | $1.74 | - |
| Output price per 1M tokens | $3.48 | - |
| Cached input price per 1M tokens | $0.20 | - |
| OpenCode tokens: past 2 months | 6.4T | 849B |
| Share of all tokens | 0.6% | 0.1% |
| Rank by tokens last week | #14 | #11 |
| Unique users | 529K | 17K |
| Weekly retention | 60.7% | - |

Model pages: [DeepSeek V4 Pro](https://opencode.ai/data/deepseek/deepseek-v4-pro.md), [nemotron-3.5-super-vl](https://opencode.ai/data/nvidia/nemotron-3-5-super-vl.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.