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DeepSeek-V4.1-Flash-1017 vs Nemotron 3.5 Super VL (120B A12B)

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.0 to 35.0. Nemotron 3.5 Super VL (120B A12B) is 1.3x cheaper per token.

DeepSeek · NVIDIA · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash-1017 leads the overall LLM Stats Score 51.0 to 35.0, ranking #15 overall.

In the 1 individual benchmarks reported for both models, DeepSeek-V4.1-Flash-1017 wins 1; this is a narrower head-to-head signal than the composite indexes.

On price, Nemotron 3.5 Super VL (120B A12B) is roughly 1.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-V4.1-Flash-1017 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek-V4.1-Flash-1017

  • overall performance matters — it scores 51.0 and ranks #15 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Oct 2026

Choose Nemotron 3.5 Super VL (120B A12B)

  • cost matters — it's about 1.3x cheaper per token

At a glance

The differences that matter most.

DeepSeek-V4.1-Flash-1017
DeepSeek
Nemotron 3.5 Super VL (120B A12B)
NVIDIA
Core performance indexes
LLM Stats Score
51.0
#15
35.0
#108
Reasoning
48.6
#18
36.2
#94
Coding
39.1
#15
21.0
#108
Agents
38.6
#9
16.5
#99
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.30 / M
$0.20 / M
Output price
$1.20 / M
$1.00 / M
Context window
1,048,576
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

4 shared
Index
DeepSeek-V4.1-Flash-1017
Nemotron 3.5 Super VL (120B A12B)
Math
31.8#67
28.1#101
Vision
32.2#26
20.3#86
Tool use
30.9#7
11.0#133
Multimodal
35.0#14
22.0#76
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for DeepSeek-V4.1-Flash-1017 · 19 for Nemotron 3.5 Super VL (120B A12B)

1 shared

DeepSeek-V4.1-Flash-1017 outperforms in 1 benchmarks (Humanity's Last Exam), while Nemotron 3.5 Super VL (120B A12B) is better at 0 benchmarks.

DeepSeek-V4.1-Flash-1017 significantly outperforms across most benchmarks.

Mon Oct 19 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Nemotron 3.5 Super VL (120B A12B) costs less

For input processing, DeepSeek-V4.1-Flash-1017 ($0.30/1M tokens) is 1.5x more expensive than Nemotron 3.5 Super VL (120B A12B) ($0.20/1M tokens).

For output processing, DeepSeek-V4.1-Flash-1017 ($1.20/1M tokens) is 1.2x more expensive than Nemotron 3.5 Super VL (120B A12B) ($1.00/1M tokens).

In conclusion, DeepSeek-V4.1-Flash-1017 is more expensive than Nemotron 3.5 Super VL (120B A12B).*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Mon Oct 19 2026 • llm-stats.com
DeepSeek
DeepSeek-V4.1-Flash-1017
Input tokens$0.30
Output tokens$1.20
Best providerDeepSeek
NVIDIA
Nemotron 3.5 Super VL (120B A12B)
Input tokens$0.20
Output tokens$1.00
Best providerDeepinfra
Notice missing or incorrect data?

Model Size

Parameter count comparison

643.2B diff

DeepSeek-V4.1-Flash-1017 has 643.2B more parameters than Nemotron 3.5 Super VL (120B A12B), making it 536.0% larger.

DeepSeek
DeepSeek-V4.1-Flash-1017
763.2Bparameters
NVIDIA
Nemotron 3.5 Super VL (120B A12B)
120.0Bparameters
763.2B
DeepSeek-V4.1-Flash-1017
120.0B
Nemotron 3.5 Super VL (120B A12B)

Context Window

Maximum input and output token capacity

DeepSeek-V4.1-Flash-1017 accepts 1,048,576 input tokens compared to Nemotron 3.5 Super VL (120B A12B)'s 262,144 tokens. DeepSeek-V4.1-Flash-1017 can generate longer responses up to 393,216 tokens, while Nemotron 3.5 Super VL (120B A12B) is limited to 262,144 tokens.

DeepSeek
DeepSeek-V4.1-Flash-1017
Input1,048,576 tokens
Output393,216 tokens
NVIDIA
Nemotron 3.5 Super VL (120B A12B)
Input262,144 tokens
Output262,144 tokens
Mon Oct 19 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek-V4.1-Flash-1017 and Nemotron 3.5 Super VL (120B A12B) support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

DeepSeek-V4.1-Flash-1017

Text
Images
Audio
Video

Nemotron 3.5 Super VL (120B A12B)

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4.1-Flash-1017 is licensed under MIT, while Nemotron 3.5 Super VL (120B A12B) uses OpenMDW License v1.1.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek-V4.1-Flash-1017

MIT

Open weights

Nemotron 3.5 Super VL (120B A12B)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash-1017 was released on 2026-10-17, while Nemotron 3.5 Super VL (120B A12B) was released on 2026-10-15.

DeepSeek-V4.1-Flash-1017 is 0 month newer than Nemotron 3.5 Super VL (120B A12B).

DeepSeek-V4.1-Flash-1017

Oct 17, 2026

0 days ago

2d newer
Nemotron 3.5 Super VL (120B A12B)

Oct 15, 2026

2 days ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

DeepSeek-V4.1-Flash-1017 is available from DeepSeek. Nemotron 3.5 Super VL (120B A12B) is available from DeepInfra.

DeepSeek-V4.1-Flash-1017

deepseek logo
DeepSeek
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M

Nemotron 3.5 Super VL (120B A12B)

deepinfra logo
Deepinfra
Input Price:Input: $0.20/1MOutput Price:Output: $1.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against DeepSeek-V4.1-Flash-1017 and Nemotron 3.5 Super VL (120B A12B) side-by-side, then vote on the output you prefer.

DeepSeek-V4.1-Flash-1017
✓ Preferred
Nemotron 3.5 Super VL (120B A12B)
Open in Playground

FAQ

Common questions about DeepSeek-V4.1-Flash-1017 vs Nemotron 3.5 Super VL (120B A12B).

Which is better, DeepSeek-V4.1-Flash-1017 or Nemotron 3.5 Super VL (120B A12B)?

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.0 to 35.0. DeepSeek-V4.1-Flash-1017 is made by DeepSeek and Nemotron 3.5 Super VL (120B A12B) is made by NVIDIA. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek-V4.1-Flash-1017 compare to Nemotron 3.5 Super VL (120B A12B) in benchmarks?

DeepSeek-V4.1-Flash-1017 scores BabyVision: 92.5%, Chartography: 83.0%, DeepSWE 1.1: 77.0%, NL2Repo: 68.2%, AutomationBench: 60.5%. Nemotron 3.5 Super VL (120B A12B) scores GPQA: 89.5%, LiveCodeBench v6: 88.2%, CharXiv-R: 80.8%, MathVision: 78.2%, BrowseComp: 78.0%.

Is DeepSeek-V4.1-Flash-1017 cheaper than Nemotron 3.5 Super VL (120B A12B)?

Nemotron 3.5 Super VL (120B A12B) is 1.5x cheaper for input tokens. DeepSeek-V4.1-Flash-1017 costs $0.30/M input and $1.20/M output via deepseek. Nemotron 3.5 Super VL (120B A12B) costs $0.20/M input and $1.00/M output via deepinfra.

What are the context window sizes for DeepSeek-V4.1-Flash-1017 and Nemotron 3.5 Super VL (120B A12B)?

DeepSeek-V4.1-Flash-1017 supports 1.0M tokens and Nemotron 3.5 Super VL (120B A12B) supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V4.1-Flash-1017 and Nemotron 3.5 Super VL (120B A12B)?

Key differences include LLM Stats Score (51.0 vs 35.0), context window (1.0M vs 262K), input pricing ($0.30 vs $0.20/M), licensing (MIT vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4.1-Flash-1017 and Nemotron 3.5 Super VL (120B A12B)?

DeepSeek-V4.1-Flash-1017 is developed by DeepSeek and Nemotron 3.5 Super VL (120B A12B) is developed by NVIDIA.

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