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

DeepSeek-V4.1-Flash leads the LLM Stats Score 49.8 to 35.0. DeepSeek-V4.1-Flash is 1.2x cheaper per token.

DeepSeek · NVIDIA · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash leads the overall LLM Stats Score 49.8 to 35.0, ranking #20 overall.

In the 3 individual benchmarks reported for both models, DeepSeek-V4.1-Flash wins 3; this is a narrower head-to-head signal than the composite indexes.

On price, DeepSeek-V4.1-Flash is roughly 1.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-V4.1-Flash also accepts a larger context window (1,040,000 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

  • overall performance matters — it scores 49.8 and ranks #20 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results
  • cost matters — it's about 1.2x cheaper per token
  • you process long inputs — it offers a 1,040,000 token context window

Choose Nemotron 3.5 Super VL (120B A12B)

  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

DeepSeek-V4.1-Flash
DeepSeek
Nemotron 3.5 Super VL (120B A12B)
NVIDIA
Core performance indexes
LLM Stats Score
49.8
#20
35.0
#108
Reasoning
47.7
#24
36.3
#92
Coding
40.3
#10
21.0
#108
Agents
38.2
#12
16.8
#98
Cost, coverage & limits
Benchmark wins
3 of 3
0 of 3
Input price
$0.22 / M
$0.20 / M
Output price
$0.66 / M
$1.00 / M
Context window
1,040,000
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

4 shared
Index
DeepSeek-V4.1-Flash
Nemotron 3.5 Super VL (120B A12B)
Math
35.2#44
28.1#101
Vision
30.5#37
20.3#86
Tool use
31.8#5
11.3#128
Multimodal
32.3#24
22.0#76
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

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

3 shared

DeepSeek-V4.1-Flash outperforms in 3 benchmarks (GPQA, Humanity's Last Exam, Terminal-Bench 2.1), while Nemotron 3.5 Super VL (120B A12B) is better at 0 benchmarks.

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

Wed Oct 21 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

DeepSeek-V4.1-Flash costs less

For input processing, DeepSeek-V4.1-Flash ($0.22/1M tokens) is 1.1x more expensive than Nemotron 3.5 Super VL (120B A12B) ($0.20/1M tokens).

For output processing, DeepSeek-V4.1-Flash ($0.66/1M tokens) is 1.5x cheaper than Nemotron 3.5 Super VL (120B A12B) ($1.00/1M tokens).

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

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

Lowest available price from all providers
Wed Oct 21 2026 • llm-stats.com
DeepSeek
DeepSeek-V4.1-Flash
Input tokens$0.22
Output tokens$0.66
Best providerFireworks
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 has 643.2B more parameters than Nemotron 3.5 Super VL (120B A12B), making it 536.0% larger.

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

Context Window

Maximum input and output token capacity

DeepSeek-V4.1-Flash accepts 1,040,000 input tokens compared to Nemotron 3.5 Super VL (120B A12B)'s 262,144 tokens. DeepSeek-V4.1-Flash 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
Input1,040,000 tokens
Output393,216 tokens
NVIDIA
Nemotron 3.5 Super VL (120B A12B)
Input262,144 tokens
Output262,144 tokens
Wed Oct 21 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek-V4.1-Flash 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

Text
Images
Audio
Video

Nemotron 3.5 Super VL (120B A12B)

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4.1-Flash 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

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 was released on 2026-09-10, while Nemotron 3.5 Super VL (120B A12B) was released on 2026-10-15.

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

DeepSeek-V4.1-Flash

Sep 10, 2026

1 months ago

Nemotron 3.5 Super VL (120B A12B)

Oct 15, 2026

4 days ago

1mo newer

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 is available from Fireworks, DeepInfra, Novita. Nemotron 3.5 Super VL (120B A12B) is available from DeepInfra.

DeepSeek-V4.1-Flash

fireworks logo
Fireworks
Input Price:Input: $0.22/1MOutput Price:Output: $0.66/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
novita logo
Novita
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 and Nemotron 3.5 Super VL (120B A12B) side-by-side, then vote on the output you prefer.

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

FAQ

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

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

DeepSeek-V4.1-Flash leads the LLM Stats Score 49.8 to 35.0. DeepSeek-V4.1-Flash 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 compare to Nemotron 3.5 Super VL (120B A12B) in benchmarks?

DeepSeek-V4.1-Flash scores CodeForces: 100.0%, GPQA: 90.9%, Terminal-Bench 2.1: 90.6%, BabyVision: 89.6%, CyberGym: 88.1%. 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 cheaper than Nemotron 3.5 Super VL (120B A12B)?

Nemotron 3.5 Super VL (120B A12B) is 1.1x cheaper for input tokens. DeepSeek-V4.1-Flash costs $0.22/M input and $0.66/M output via fireworks. 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 and Nemotron 3.5 Super VL (120B A12B)?

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

Key differences include LLM Stats Score (49.8 vs 35.0), context window (1.0M vs 262K), input pricing ($0.22 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 and Nemotron 3.5 Super VL (120B A12B)?

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

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