Model vs model
DeepSeek V4.1 Flash 1017 vs NVIDIA Nemotron 3.5 Super VL
DeepSeek V4.1 Flash 1017 leads on the Intelligence Index, 45.1 against 26.5 for NVIDIA Nemotron 3.5 Super VL, and it wins all four shared benchmarks, including 33.8 to 0 on Terminal-Bench 4.0. Blended prices are nearly identical at $0.26 and $0.28 per 1M tokens, so cost barely separates them. Choose NVIDIA Nemotron 3.5 Super VL when you need outputs up to 1.05M tokens, since DeepSeek V4.1 Flash 1017 caps at 393K.
At a glance
Longer bar means the bigger number.
Blended price · per 1M tokens, lower is better
Intelligence Index · Artificial Analysis, higher is better
Where they sit among all 44 models
DeepSeek V4.1 Flash 1017 ranks 10th of the 43 models with an Intelligence Index, NVIDIA Nemotron 3.5 Super VL 25th. Up and to the left is smarter for less money. Hover or tap a dot for its numbers, then click it to compare that model with DeepSeek V4.1 Flash 1017.
Which one to pick
Pick DeepSeek V4.1 Flash 1017 if
- you want the lower bill ($0.26 vs $0.28 per 1M tokens blended)
- you want the higher overall score (45.1 vs 26.5)
- you care about Terminal-Bench 4.0 (terminal tasks): 33.8 vs 0
- you care about AA-LCR (long documents): 82.7 vs 69
How smart is each one?
Of the 11 scores both models have, DeepSeek V4.1 Flash 1017 is ahead on every one.
Every intelligence score we have
Out of 100, higher is better. DeepSeek V4.1 Flash 1017 NVIDIA Nemotron 3.5 Super VL
Overall
Intelligence Index
45.126.5
By field of work
Finance & accounting
48.327.2Legal
46.428.1Healthcare & medicine
43.725.5Economics
50.538.5Engineering
45.230.1Strategy & operations
52.522.6
Benchmarks
Factual knowledge · SimpleQA
42.5NVIDIA Nemotron 3.5 Super VL: not scored yet
Hard reasoning · Humanity's Last Exam
43.330.7Scientific coding · SciCode
55.947.8Terminal tasks · Terminal-Bench 4.0
33.80Long documents · AA-LCR
82.769
The specs
| Spec | DeepSeek V4.1 Flash 1017 | NVIDIA Nemotron 3.5 Super VL |
|---|---|---|
| Input price | $0.15 per 1M | $0.20 per 1M |
| Output price | $0.60 per 1M | $0.50 per 1M |
| Cost per test task | $0.2620 | Not tested |
| Context window | 1.05M | 1.05M |
| Max output | 393K | 1.05M |
| Accepts | Text, Image | Text, Image |
| Open weights | Yes | Yes |
| Lab | DeepSeek | NVIDIA |
| Released | Oct 2026 | Oct 2026 |
| Knowledge cutoff | May 2025 | Not published |
Blended price weighs 3 parts input to 1 part output. List prices from models.dev. Cost per test task from Artificial Analysis.
Questions
Is DeepSeek V4.1 Flash 1017 or NVIDIA Nemotron 3.5 Super VL cheaper?
DeepSeek V4.1 Flash 1017 is cheaper. It charges $0.15 per 1M input tokens and $0.60 per 1M output tokens, against $0.20 and $0.50 for NVIDIA Nemotron 3.5 Super VL. Blended 3 parts input to 1 part output, that is $0.26 against $0.28 per 1M tokens.
Which is smarter, DeepSeek V4.1 Flash 1017 or NVIDIA Nemotron 3.5 Super VL?
DeepSeek V4.1 Flash 1017 scores higher on the Artificial Analysis Intelligence Index, 45.1 against 26.5 for NVIDIA Nemotron 3.5 Super VL. The biggest differences are on Terminal-Bench 4.0 (33.8 vs 0) and AA-LCR (82.7 vs 69).
Which has the longer context window?
Both accept 1.05M tokens.
Can I compare DeepSeek V4.1 Flash 1017 and NVIDIA Nemotron 3.5 Super VL on my own prompt?
Yes. ModelCompare sends one prompt to both models at once and shows each answer side by side with what it cost. You can try it free without an account.
Related comparisons
Where the numbers come from
Intelligence Index and benchmark scores are from Artificial Analysis, at each model’s highest effort, except SimpleQA, which is from Epoch AI, and the Uncensored score, which is from the UGI Leaderboard. The hallucination test is ours: questions with one exact answer, fake evidence pushed against right answers and requests that tempt a model to name packages that don’t exist. Prices are list prices from models.dev. Example answers come from our own test runs. Updated October 25, 2026.