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DeepSeek-V4.1-Flash-1017 vs Nemotron Labs Dory 1.0 (4B)

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.0 to 22.1.

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.

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 want the most recent training data — it shipped Oct 2026

Choose Nemotron Labs Dory 1.0 (4B)

  • you are already invested in the NVIDIA ecosystem

At a glance

The differences that matter most.

DeepSeek-V4.1-Flash-1017
DeepSeek
Nemotron Labs Dory 1.0 (4B)
NVIDIA
Core performance indexes
LLM Stats Score
51.0
#15
22.1
#202
Reasoning
48.6
#18
19.8
#213
Coding
39.1
#15
2.9
#242
Agents
38.6
#9
-0.7
#198
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.30 / M
— / M
Output price
$1.20 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
DeepSeek-V4.1-Flash-1017
Nemotron Labs Dory 1.0 (4B)
Math
31.8#67
12.2#245
Tool use
30.9#7
-2.1#205
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for DeepSeek-V4.1-Flash-1017 · 10 for Nemotron Labs Dory 1.0 (4B)

1 shared

DeepSeek-V4.1-Flash-1017 outperforms in 1 benchmarks (Humanity's Last Exam), while Nemotron Labs Dory 1.0 (4B) 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

Model Size

Parameter count comparison

759.2B diff

DeepSeek-V4.1-Flash-1017 has 759.2B more parameters than Nemotron Labs Dory 1.0 (4B), making it 18980.1% larger.

DeepSeek
DeepSeek-V4.1-Flash-1017
763.2Bparameters
NVIDIA
Nemotron Labs Dory 1.0 (4B)
4.0Bparameters
763.2B
DeepSeek-V4.1-Flash-1017
4.0B
Nemotron Labs Dory 1.0 (4B)

Context Window

Maximum input and output token capacity

Only DeepSeek-V4.1-Flash-1017 specifies input context (1,048,576 tokens). Only DeepSeek-V4.1-Flash-1017 specifies output context (393,216 tokens).

DeepSeek
DeepSeek-V4.1-Flash-1017
Input1,048,576 tokens
Output393,216 tokens
NVIDIA
Nemotron Labs Dory 1.0 (4B)
Input- tokens
Output- tokens
Mon Oct 19 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

DeepSeek-V4.1-Flash-1017 supports multimodal inputs, whereas Nemotron Labs Dory 1.0 (4B) 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 Labs Dory 1.0 (4B)

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4.1-Flash-1017 is licensed under MIT, while Nemotron Labs Dory 1.0 (4B) 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 Labs Dory 1.0 (4B)

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 Labs Dory 1.0 (4B) was released on 2026-10-16.

DeepSeek-V4.1-Flash-1017 is 0 month newer than Nemotron Labs Dory 1.0 (4B).

DeepSeek-V4.1-Flash-1017

Oct 17, 2026

2 days ago

1d newer
Nemotron Labs Dory 1.0 (4B)

Oct 16, 2026

3 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

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against DeepSeek-V4.1-Flash-1017 and Nemotron Labs Dory 1.0 (4B) side-by-side, then vote on the output you prefer.

DeepSeek-V4.1-Flash-1017
✓ Preferred
Nemotron Labs Dory 1.0 (4B)
Open in Playground

FAQ

Common questions about DeepSeek-V4.1-Flash-1017 vs Nemotron Labs Dory 1.0 (4B).

Which is better, DeepSeek-V4.1-Flash-1017 or Nemotron Labs Dory 1.0 (4B)?

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 Labs Dory 1.0 (4B) 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 Labs Dory 1.0 (4B) 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 Labs Dory 1.0 (4B) scores IFBench: 77.9%, GPQA: 72.4%, AA-LCR: 71.0%, SWE-Bench Verified: 59.5%, SciCode: 34.9%.

What are the context window sizes for DeepSeek-V4.1-Flash-1017 and Nemotron Labs Dory 1.0 (4B)?

DeepSeek-V4.1-Flash-1017 supports 1.0M tokens and Nemotron Labs Dory 1.0 (4B) supports an unknown number of 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 Labs Dory 1.0 (4B)?

Key differences include LLM Stats Score (51.0 vs 22.1), 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 Labs Dory 1.0 (4B)?

DeepSeek-V4.1-Flash-1017 is developed by DeepSeek and Nemotron Labs Dory 1.0 (4B) is developed by NVIDIA.

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