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

DeepSeek-V4-Pro-Max leads the LLM Stats Score 42.9 to 22.1.

DeepSeek · NVIDIA · Updated for 2026

Which is better?

DeepSeek-V4-Pro-Max leads the overall LLM Stats Score 42.9 to 22.1, ranking #57 overall.

In the 3 individual benchmarks reported for both models, DeepSeek-V4-Pro-Max 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-Pro-Max

  • overall performance matters — it scores 42.9 and ranks #57 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-Pro-Max
DeepSeek
Nemotron Labs Dory 1.0 (4B)
NVIDIA
Core performance indexes
LLM Stats Score
42.9
#57
22.1
#202
Reasoning
43.1
#53
19.8
#213
Coding
31.2
#56
2.9
#242
Agents
23.6
#73
-0.7
#198
Cost, coverage & limits
Benchmark wins
3 of 3
0 of 3
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-Max
Nemotron Labs Dory 1.0 (4B)
Math
40.2#14
12.2#245
Tool use
22.1#58
-2.1#205
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

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

3 shared

DeepSeek-V4-Pro-Max outperforms in 3 benchmarks (GPQA, Humanity's Last Exam, SWE-Bench Verified), while Nemotron Labs Dory 1.0 (4B) is better at 0 benchmarks.

DeepSeek-V4-Pro-Max significantly outperforms across most benchmarks.

Tue Oct 20 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-Max has 1596.0B more parameters than Nemotron Labs Dory 1.0 (4B), making it 39900.0% larger.

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

Context Window

Maximum input and output token capacity

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

DeepSeek
DeepSeek-V4-Pro-Max
Input1,048,576 tokens
Output1,048,576 tokens
NVIDIA
Nemotron Labs Dory 1.0 (4B)
Input- tokens
Output- tokens
Tue Oct 20 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V4-Pro-Max 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-Max

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-Max was released on 2026-04-23, while Nemotron Labs Dory 1.0 (4B) was released on 2026-10-16.

Nemotron Labs Dory 1.0 (4B) is 6 months newer than DeepSeek-V4-Pro-Max.

DeepSeek-V4-Pro-Max

Apr 23, 2026

5 months ago

Nemotron Labs Dory 1.0 (4B)

Oct 16, 2026

1 days ago

5mo 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-Max and Nemotron Labs Dory 1.0 (4B) side-by-side, then vote on the output you prefer.

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

FAQ

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

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

DeepSeek-V4-Pro-Max leads the LLM Stats Score 42.9 to 22.1. DeepSeek-V4-Pro-Max 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-Max compare to Nemotron Labs Dory 1.0 (4B) in benchmarks?

DeepSeek-V4-Pro-Max scores CodeForces: 100.0%, HMMT Feb 26: 95.2%, LiveCodeBench: 93.5%, MathArena Apex: 90.2%, GPQA: 90.1%. 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-Pro-Max and Nemotron Labs Dory 1.0 (4B)?

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

Key differences include LLM Stats Score (42.9 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-Max and Nemotron Labs Dory 1.0 (4B)?

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

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