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DeepSeek-V3 vs Nemotron Labs Dory 1.0 (4B)

Nemotron Labs Dory 1.0 (4B) leads the LLM Stats Score 22.1 to 15.3.

DeepSeek · NVIDIA · Updated for 2026

Which is better?

Nemotron Labs Dory 1.0 (4B) leads the overall LLM Stats Score 22.1 to 15.3, ranking #202 overall.

In the 2 individual benchmarks reported for both models, Nemotron Labs Dory 1.0 (4B) 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-V3

  • you want predictable pricing at $0.27/M input and $0.89/M output

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 value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

DeepSeek-V3
DeepSeek
Nemotron Labs Dory 1.0 (4B)
NVIDIA
Core performance indexes
LLM Stats Score
15.3
#252
22.1
#202
Reasoning
14.4
#251
19.8
#213
Coding
6.0
#213
2.9
#241
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
$0.27 / M
— / M
Output price
$0.89 / M
— / M
Context window
131,072
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V3
Nemotron Labs Dory 1.0 (4B)
Math
17.9#198
12.2#245
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for DeepSeek-V3 · 10 for Nemotron Labs Dory 1.0 (4B)

2 shared

DeepSeek-V3 outperforms in 0 benchmarks, while Nemotron Labs Dory 1.0 (4B) is better at 2 benchmarks (GPQA, SWE-Bench Verified).

Nemotron Labs Dory 1.0 (4B) 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

667.0B diff

DeepSeek-V3 has 667.0B more parameters than Nemotron Labs Dory 1.0 (4B), making it 16675.0% larger.

DeepSeek
DeepSeek-V3
671.0Bparameters
NVIDIA
Nemotron Labs Dory 1.0 (4B)
4.0Bparameters
671.0B
DeepSeek-V3
4.0B
Nemotron Labs Dory 1.0 (4B)

Context Window

Maximum input and output token capacity

Only DeepSeek-V3 specifies input context (131,072 tokens). Only DeepSeek-V3 specifies output context (131,072 tokens).

DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 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-V3 is licensed under MIT + Model License (Commercial use allowed), 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-V3

MIT + Model License (Commercial use allowed)

Open weights

Nemotron Labs Dory 1.0 (4B)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 was released on 2024-12-25, 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-V3.

DeepSeek-V3

Dec 25, 2024

1.8 years ago

Nemotron Labs Dory 1.0 (4B)

Oct 16, 2026

1 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-V3 and Nemotron Labs Dory 1.0 (4B) side-by-side, then vote on the output you prefer.

DeepSeek-V3
✓ Preferred
Nemotron Labs Dory 1.0 (4B)
Open in Playground

FAQ

Common questions about DeepSeek-V3 vs Nemotron Labs Dory 1.0 (4B).

Which is better, DeepSeek-V3 or Nemotron Labs Dory 1.0 (4B)?

Nemotron Labs Dory 1.0 (4B) leads the LLM Stats Score 22.1 to 15.3. DeepSeek-V3 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-V3 compare to Nemotron Labs Dory 1.0 (4B) in benchmarks?

DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%. 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-V3 and Nemotron Labs Dory 1.0 (4B)?

DeepSeek-V3 supports 131K 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-V3 and Nemotron Labs Dory 1.0 (4B)?

Key differences include LLM Stats Score (15.3 vs 22.1), licensing (MIT + Model License (Commercial use allowed) vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3 and Nemotron Labs Dory 1.0 (4B)?

DeepSeek-V3 is developed by DeepSeek and Nemotron Labs Dory 1.0 (4B) is developed by NVIDIA.

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