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DeepSeek VL2 vs Nemotron Labs Dory 1.0 (4B)

Nemotron Labs Dory 1.0 (4B) leads the LLM Stats Score 22.1 to 2.6.

DeepSeek · NVIDIA · Updated for 2026

Which is better?

Nemotron Labs Dory 1.0 (4B) leads the overall LLM Stats Score 22.1 to 2.6, ranking #202 overall.

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

Choose DeepSeek VL2

  • you are already invested in the DeepSeek ecosystem

Choose Nemotron Labs Dory 1.0 (4B)

  • overall performance matters — it scores 22.1 and ranks #202 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

DeepSeek VL2
DeepSeek
Nemotron Labs Dory 1.0 (4B)
NVIDIA
Core performance indexes
LLM Stats Score
2.6
#335
22.1
#202
Reasoning
-2.1
#353
19.8
#213
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
129,280
—

Individual benchmarks

14 reported for DeepSeek VL2 · 10 for Nemotron Labs Dory 1.0 (4B)

No common benchmarks found

DeepSeek VL2 and Nemotron Labs Dory 1.0 (4B)don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

23.0B diff

DeepSeek VL2 has 23.0B more parameters than Nemotron Labs Dory 1.0 (4B), making it 575.0% larger.

DeepSeek
DeepSeek VL2
27.0Bparameters
NVIDIA
Nemotron Labs Dory 1.0 (4B)
4.0Bparameters
27.0B
DeepSeek VL2
4.0B
Nemotron Labs Dory 1.0 (4B)

Context Window

Maximum input and output token capacity

Only DeepSeek VL2 specifies input context (129,280 tokens). Only DeepSeek VL2 specifies output context (129,280 tokens).

DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
NVIDIA
Nemotron Labs Dory 1.0 (4B)
Input- tokens
Output- tokens
Tue Oct 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

DeepSeek VL2 supports multimodal inputs, whereas Nemotron Labs Dory 1.0 (4B) does not.

DeepSeek VL2 can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek VL2

Text
Images
Audio
Video

Nemotron Labs Dory 1.0 (4B)

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 is licensed under deepseek, 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 VL2

deepseek

Open weights

Nemotron Labs Dory 1.0 (4B)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 was released on 2024-12-13, while Nemotron Labs Dory 1.0 (4B) was released on 2026-10-16.

Nemotron Labs Dory 1.0 (4B) is 22 months newer than DeepSeek VL2.

DeepSeek VL2

Dec 13, 2024

1.9 years ago

Nemotron Labs Dory 1.0 (4B)

Oct 16, 2026

4 days ago

1.8yr 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 VL2 and Nemotron Labs Dory 1.0 (4B) side-by-side, then vote on the output you prefer.

DeepSeek VL2
✓ Preferred
Nemotron Labs Dory 1.0 (4B)
Open in Playground

FAQ

Common questions about DeepSeek VL2 vs Nemotron Labs Dory 1.0 (4B).

Which is better, DeepSeek VL2 or Nemotron Labs Dory 1.0 (4B)?

Nemotron Labs Dory 1.0 (4B) leads the LLM Stats Score 22.1 to 2.6. DeepSeek VL2 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 VL2 compare to Nemotron Labs Dory 1.0 (4B) in benchmarks?

DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%. 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 VL2 and Nemotron Labs Dory 1.0 (4B)?

DeepSeek VL2 supports 129K 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 VL2 and Nemotron Labs Dory 1.0 (4B)?

Key differences include LLM Stats Score (2.6 vs 22.1), multimodal support (yes vs no), licensing (deepseek vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 and Nemotron Labs Dory 1.0 (4B)?

DeepSeek VL2 is developed by DeepSeek and Nemotron Labs Dory 1.0 (4B) is developed by NVIDIA.

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