DeepSeek: DeepSeek V4.1 Flash 1017 (batch) vs NVIDIA: Nemotron 3.5 Super VL
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 | |
|---|---|---|
| Vendor | deepseek | nvidia |
| Quality Score | 100 | 100 |
| Input Price | $0.01/M | $0.15/M |
| Output Price | $0.20/M | $0.50/M |
| Context Window | 1,048,576 | 1,048,576 |
| Max Output | 943,718 | 943,718 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, DeepSeek V4.1 Flash 1017 (batch) costs $0.061 and Nemotron 3.5 Super VL costs $0.28, so DeepSeek V4.1 Flash 1017 (batch) is about 4.5 times cheaper for the same work.
Both read up to 1,048,576 tokens at once, roughly 1,573 pages of text.
Only Nemotron 3.5 Super VL offers video input.
Across the 10 tasks where they differ, DeepSeek V4.1 Flash 1017 (batch) scores higher on 10 (SQL Generation, Code Completion, Code Documentation and others).
Pick DeepSeek V4.1 Flash 1017 (batch) if you need lower cost or the stronger all-round task scores; pick Nemotron 3.5 Super VL if you need 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 |
|---|---|---|
| SQL Generation | 134 | 133 |
| Code Completion | 132 | 131 |
| Code Documentation | 132 | 131 |
| Regex Writing | 120 | 119 |
| CSV / Spreadsheet Cleanup | 134 | 133 |
| JSON Extraction | 132 | 131 |
| Bulk Data Labeling | 129 | 129 |
| Long-Document Summarization | 138 | 137 |
| Short-Form Summarization | 124 | 123 |
| Blog Post Writing | 122 | 121 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →