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

DeepSeek-V4.1-Flash leads the LLM Stats Score 49.8 to 22.1.

DeepSeek · NVIDIA · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash leads the overall LLM Stats Score 49.8 to 22.1, 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.

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

Choose Nemotron Labs Dory 1.0 (4B)

  • 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 Labs Dory 1.0 (4B)
NVIDIA
Core performance indexes
LLM Stats Score
49.8
#20
22.1
#201
Reasoning
47.7
#24
19.8
#213
Coding
40.3
#10
2.9
#242
Agents
38.2
#12
-0.8
#198
Cost, coverage & limits
Benchmark wins
3 of 3
0 of 3
Input price
$0.22 / M
— / M
Output price
$0.66 / M
— / M
Context window
1,040,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
DeepSeek-V4.1-Flash
Nemotron Labs Dory 1.0 (4B)
Math
35.2#43
12.2#245
Tool use
31.8#5
-2.0#204
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

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

3 shared

DeepSeek-V4.1-Flash outperforms in 3 benchmarks (GPQA, Humanity's Last Exam, Terminal-Bench 2.1), while Nemotron Labs Dory 1.0 (4B) 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

Model Size

Parameter count comparison

759.2B diff

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

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

Context Window

Maximum input and output token capacity

Only DeepSeek-V4.1-Flash specifies input context (1,040,000 tokens). Only DeepSeek-V4.1-Flash specifies output context (393,216 tokens).

DeepSeek
DeepSeek-V4.1-Flash
Input1,040,000 tokens
Output393,216 tokens
NVIDIA
Nemotron Labs Dory 1.0 (4B)
Input- tokens
Output- tokens
Wed Oct 21 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

DeepSeek-V4.1-Flash supports multimodal inputs, whereas Nemotron Labs Dory 1.0 (4B) does not.

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

DeepSeek-V4.1-Flash

Text
Images
Audio
Video

Nemotron Labs Dory 1.0 (4B)

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4.1-Flash 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

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 was released on 2026-09-10, while Nemotron Labs Dory 1.0 (4B) was released on 2026-10-16.

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

DeepSeek-V4.1-Flash

Sep 10, 2026

1 months ago

Nemotron Labs Dory 1.0 (4B)

Oct 16, 2026

3 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

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

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

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

FAQ

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

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

DeepSeek-V4.1-Flash leads the LLM Stats Score 49.8 to 22.1. DeepSeek-V4.1-Flash 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 compare to Nemotron Labs Dory 1.0 (4B) 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 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 and Nemotron Labs Dory 1.0 (4B)?

DeepSeek-V4.1-Flash 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 and Nemotron Labs Dory 1.0 (4B)?

Key differences include LLM Stats Score (49.8 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 and Nemotron Labs Dory 1.0 (4B)?

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

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