DeepSeek: DeepSeek V4.1 Flash 1017 (batch) vs NVIDIA: Nemotron 3.5 Super VL (free)
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-07.
| DeepSeek: DeepSeek V4.1 Flash 1017 (batch) | NVIDIA: Nemotron 3.5 Super VL (free) | |
|---|---|---|
| Vendor | deepseek | nvidia |
| Quality Score | 100 | 100 |
| Input Price | $0.01/M | Free |
| Output Price | $0.20/M | Free |
| Context Window | 1,048,576 | 1,000,000 |
| Max Output | 943,718 | 131,072 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, Nemotron 3.5 Super VL (free) costs $0 and DeepSeek V4.1 Flash 1017 (batch) costs $0.061, so Nemotron 3.5 Super VL (free) is free for the same work.
Both take in a similar amount of text: 1,048,576 and 1,000,000 tokens, about 1,573 and 1,500 pages.
Only Nemotron 3.5 Super VL (free) offers video input.
Across the 1 tasks where they differ, Nemotron 3.5 Super VL (free) on 1 (Bulk Data Labeling).
Pick Nemotron 3.5 Super VL (free) if you need lower cost or video input.
Costs use current list prices per million tokens; page counts assume about 0.75 words per token and 500 words per page.
Who wins by task?
| Task | DeepSeek: DeepSeek V4.1 Flash 1017 (batch) | NVIDIA: Nemotron 3.5 Super VL (free) |
|---|---|---|
| Bulk Data Labeling | 129 | 130 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →