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DeepSeek-V4.1-Flash-1017 vs Nemotron 3.5 Lightning (30B A3B)

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.0 to 22.1. Nemotron 3.5 Lightning (30B A3B) is 4.8x 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 22.1, 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 Lightning (30B A3B) is roughly 4.8x 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 Lightning (30B A3B)

  • cost matters — it's about 4.8x cheaper per token

At a glance

The differences that matter most.

Core performance indexes
51.0
#15
22.1
#200
48.6
#18
20.0
#212
39.1
#15
7.4
#205
38.6
#9
5.9
#163
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.30 / M
$0.08 / M
Output price
$1.20 / M
$0.20 / M
Context window
1,048,576
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
DeepSeek-V4.1-Flash-1017
Nemotron 3.5 Lightning (30B A3B)
31.8#67
17.2#206
30.9#7
-0.7#202
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for DeepSeek-V4.1-Flash-1017 · 13 for Nemotron 3.5 Lightning (30B A3B)

1 shared

DeepSeek-V4.1-Flash-1017 outperforms in 1 benchmarks (Humanity's Last Exam), while Nemotron 3.5 Lightning (30B A3B) is better at 0 benchmarks.

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

Tue Oct 20 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 Lightning (30B A3B) costs less

For input processing, DeepSeek-V4.1-Flash-1017 ($0.30/1M tokens) is 3.8x more expensive than Nemotron 3.5 Lightning (30B A3B) ($0.08/1M tokens).

For output processing, DeepSeek-V4.1-Flash-1017 ($1.20/1M tokens) is 6.0x more expensive than Nemotron 3.5 Lightning (30B A3B) ($0.20/1M tokens).

In conclusion, DeepSeek-V4.1-Flash-1017 is more expensive than Nemotron 3.5 Lightning (30B A3B).*

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

Lowest available price from all providers
Tue Oct 20 2026 • llm-stats.com
DeepSeek
DeepSeek-V4.1-Flash-1017
Input tokens$0.30
Output tokens$1.20
Best providerDeepSeek
NVIDIA
Nemotron 3.5 Lightning (30B A3B)
Input tokens$0.08
Output tokens$0.20
Best providerDeepinfra
Notice missing or incorrect data?

Model Size

Parameter count comparison

733.2B diff

DeepSeek-V4.1-Flash-1017 has 733.2B more parameters than Nemotron 3.5 Lightning (30B A3B), making it 2444.0% larger.

DeepSeek
DeepSeek-V4.1-Flash-1017
763.2Bparameters
NVIDIA
Nemotron 3.5 Lightning (30B A3B)
30.0Bparameters
763.2B
DeepSeek-V4.1-Flash-1017
30.0B
Nemotron 3.5 Lightning (30B A3B)

Context Window

Maximum input and output token capacity

DeepSeek-V4.1-Flash-1017 accepts 1,048,576 input tokens compared to Nemotron 3.5 Lightning (30B A3B)'s 262,144 tokens. DeepSeek-V4.1-Flash-1017 can generate longer responses up to 393,216 tokens, while Nemotron 3.5 Lightning (30B A3B) is limited to 262,144 tokens.

DeepSeek
DeepSeek-V4.1-Flash-1017
Input1,048,576 tokens
Output393,216 tokens
NVIDIA
Nemotron 3.5 Lightning (30B A3B)
Input262,144 tokens
Output262,144 tokens
Tue Oct 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

DeepSeek-V4.1-Flash-1017 supports multimodal inputs, whereas Nemotron 3.5 Lightning (30B A3B) does not.

DeepSeek-V4.1-Flash-1017 can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V4.1-Flash-1017

Text
Images
Audio
Video

Nemotron 3.5 Lightning (30B A3B)

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4.1-Flash-1017 is licensed under MIT, while Nemotron 3.5 Lightning (30B A3B) 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 Lightning (30B A3B)

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 Lightning (30B A3B) was released on 2026-08-11.

DeepSeek-V4.1-Flash-1017 is 2 months newer than Nemotron 3.5 Lightning (30B A3B).

DeepSeek-V4.1-Flash-1017

Oct 17, 2026

2 days ago

2mo newer
Nemotron 3.5 Lightning (30B A3B)

Aug 11, 2026

2 months 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 Lightning (30B A3B) 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 Lightning (30B A3B)

deepinfra logo
Deepinfra
Input Price:Input: $0.08/1MOutput Price:Output: $0.20/1M
* 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 Lightning (30B A3B) side-by-side, then vote on the output you prefer.

DeepSeek-V4.1-Flash-1017
✓ Preferred
Nemotron 3.5 Lightning (30B A3B)
Open in Playground

FAQ

Common questions about DeepSeek-V4.1-Flash-1017 vs Nemotron 3.5 Lightning (30B A3B).

Which is better, DeepSeek-V4.1-Flash-1017 or Nemotron 3.5 Lightning (30B A3B)?

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.0 to 22.1. DeepSeek-V4.1-Flash-1017 is made by DeepSeek and Nemotron 3.5 Lightning (30B A3B) 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 Lightning (30B A3B) 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 Lightning (30B A3B) scores PinchBench: 85.4%, MMLU-Pro: 81.9%, GPQA: 75.4%, IFBench: 71.9%, AA-LCR: 52.0%.

Is DeepSeek-V4.1-Flash-1017 cheaper than Nemotron 3.5 Lightning (30B A3B)?

Nemotron 3.5 Lightning (30B A3B) is 3.8x cheaper for input tokens. DeepSeek-V4.1-Flash-1017 costs $0.30/M input and $1.20/M output via deepseek. Nemotron 3.5 Lightning (30B A3B) costs $0.08/M input and $0.20/M output via deepinfra.

What are the context window sizes for DeepSeek-V4.1-Flash-1017 and Nemotron 3.5 Lightning (30B A3B)?

DeepSeek-V4.1-Flash-1017 supports 1.0M tokens and Nemotron 3.5 Lightning (30B A3B) 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 Lightning (30B A3B)?

Key differences include LLM Stats Score (51.0 vs 22.1), context window (1.0M vs 262K), input pricing ($0.30 vs $0.08/M), multimodal support (yes vs no), 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 Lightning (30B A3B)?

DeepSeek-V4.1-Flash-1017 is developed by DeepSeek and Nemotron 3.5 Lightning (30B A3B) is developed by NVIDIA.