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DeepSeek-V4-Pro-0813 vs Nemotron Labs Dory 1.0 (4B)

DeepSeek-V4-Pro-0813 leads the LLM Stats Score 50.3 to 22.1.

DeepSeek · NVIDIA · Updated for 2026

Which is better?

DeepSeek-V4-Pro-0813 leads the overall LLM Stats Score 50.3 to 22.1, ranking #18 overall.

In the 2 individual benchmarks reported for both models, DeepSeek-V4-Pro-0813 wins 2; 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-Pro-0813

  • overall performance matters — it scores 50.3 and ranks #18 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 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-Pro-0813
DeepSeek
Nemotron Labs Dory 1.0 (4B)
NVIDIA
Core performance indexes
LLM Stats Score
50.3
#18
22.1
#202
Reasoning
48.5
#19
19.8
#213
Coding
38.1
#22
2.9
#240
Agents
35.3
#24
-0.7
#198
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$1.30 / M
— / M
Output price
$2.60 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
DeepSeek-V4-Pro-0813
Nemotron Labs Dory 1.0 (4B)
Math
38.8#23
12.2#245
Tool use
28.0#22
-2.1#205
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

12 reported for DeepSeek-V4-Pro-0813 · 10 for Nemotron Labs Dory 1.0 (4B)

2 shared

DeepSeek-V4-Pro-0813 outperforms in 2 benchmarks (Humanity's Last Exam, Terminal-Bench 2.1), while Nemotron Labs Dory 1.0 (4B) is better at 0 benchmarks.

DeepSeek-V4-Pro-0813 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

1596.0B diff

DeepSeek-V4-Pro-0813 has 1596.0B more parameters than Nemotron Labs Dory 1.0 (4B), making it 39900.0% larger.

DeepSeek
DeepSeek-V4-Pro-0813
1.6Tparameters
NVIDIA
Nemotron Labs Dory 1.0 (4B)
4.0Bparameters
1600.0B
DeepSeek-V4-Pro-0813
4.0B
Nemotron Labs Dory 1.0 (4B)

Context Window

Maximum input and output token capacity

Only DeepSeek-V4-Pro-0813 specifies input context (1,048,576 tokens). Only DeepSeek-V4-Pro-0813 specifies output context (1,048,576 tokens).

DeepSeek
DeepSeek-V4-Pro-0813
Input1,048,576 tokens
Output1,048,576 tokens
NVIDIA
Nemotron Labs Dory 1.0 (4B)
Input- tokens
Output- tokens
Mon Oct 19 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V4-Pro-0813 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-Pro-0813

MIT

Open weights

Nemotron Labs Dory 1.0 (4B)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

DeepSeek-V4-Pro-0813 was released on 2026-08-13, while Nemotron Labs Dory 1.0 (4B) was released on 2026-10-16.

Nemotron Labs Dory 1.0 (4B) is 2 months newer than DeepSeek-V4-Pro-0813.

DeepSeek-V4-Pro-0813

Aug 13, 2026

2 months ago

Nemotron Labs Dory 1.0 (4B)

Oct 16, 2026

1 days ago

2mo 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-Pro-0813 and Nemotron Labs Dory 1.0 (4B) side-by-side, then vote on the output you prefer.

DeepSeek-V4-Pro-0813
✓ Preferred
Nemotron Labs Dory 1.0 (4B)
Open in Playground

FAQ

Common questions about DeepSeek-V4-Pro-0813 vs Nemotron Labs Dory 1.0 (4B).

Which is better, DeepSeek-V4-Pro-0813 or Nemotron Labs Dory 1.0 (4B)?

DeepSeek-V4-Pro-0813 leads the LLM Stats Score 50.3 to 22.1. DeepSeek-V4-Pro-0813 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-Pro-0813 compare to Nemotron Labs Dory 1.0 (4B) in benchmarks?

DeepSeek-V4-Pro-0813 scores Terminal-Bench 2.1: 87.9%, CyberGym: 83.3%, Toolathlon: 74.1%, DSBench-FullStack: 71.1%, DSBench-Hard: 67.2%. 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-Pro-0813 and Nemotron Labs Dory 1.0 (4B)?

DeepSeek-V4-Pro-0813 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-Pro-0813 and Nemotron Labs Dory 1.0 (4B)?

Key differences include LLM Stats Score (50.3 vs 22.1), licensing (MIT vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Pro-0813 and Nemotron Labs Dory 1.0 (4B)?

DeepSeek-V4-Pro-0813 is developed by DeepSeek and Nemotron Labs Dory 1.0 (4B) is developed by NVIDIA.

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