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DeepSeek-R1-0528 vs Nemotron Labs Dory 1.0 (4B)

DeepSeek-R1-0528 and Nemotron Labs Dory 1.0 (4B) are closely matched at 23.6 and 21.8 on the LLM Stats Score.

DeepSeek · NVIDIA · Updated for 2026

Which is better?

DeepSeek-R1-0528 and Nemotron Labs Dory 1.0 (4B) are closely matched on the overall LLM Stats Score at 23.6 and 21.8.

In the 3 individual benchmarks reported for both models, DeepSeek-R1-0528 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-R1-0528

  • you value its reported benchmark strengths — it wins 2 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-R1-0528
DeepSeek
Nemotron Labs Dory 1.0 (4B)
NVIDIA
Core performance indexes
LLM Stats Score
23.6
#192
21.8
#203
Reasoning
23.2
#188
19.6
#216
Coding
7.4
#206
2.8
#244
Agents
-12.2
#211
-1.8
#203
Cost, coverage & limits
Benchmark wins
2 of 3
1 of 3
Input price
$0.50 / M
— / M
Output price
$2.15 / M
— / M
Context window
163,840
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-R1-0528
Nemotron Labs Dory 1.0 (4B)
Math
26.0#113
12.1#246
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for DeepSeek-R1-0528 · 10 for Nemotron Labs Dory 1.0 (4B)

3 shared

DeepSeek-R1-0528 outperforms in 2 benchmarks (GPQA, Humanity's Last Exam), while Nemotron Labs Dory 1.0 (4B) is better at 1 benchmark (SWE-Bench Verified).

DeepSeek-R1-0528 shows notably better performance in the majority of benchmarks.

Wed Oct 28 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

667.0B diff

DeepSeek-R1-0528 has 667.0B more parameters than Nemotron Labs Dory 1.0 (4B), making it 16675.0% larger.

DeepSeek
DeepSeek-R1-0528
671.0Bparameters
NVIDIA
Nemotron Labs Dory 1.0 (4B)
4.0Bparameters
671.0B
DeepSeek-R1-0528
4.0B
Nemotron Labs Dory 1.0 (4B)

Context Window

Maximum input and output token capacity

Only DeepSeek-R1-0528 specifies input context (163,840 tokens). Only DeepSeek-R1-0528 specifies output context (163,840 tokens).

DeepSeek
DeepSeek-R1-0528
Input163,840 tokens
Output163,840 tokens
NVIDIA
Nemotron Labs Dory 1.0 (4B)
Input- tokens
Output- tokens
Wed Oct 28 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-R1-0528 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-R1-0528

MIT

Open weights

Nemotron Labs Dory 1.0 (4B)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

DeepSeek-R1-0528 was released on 2025-05-28, while Nemotron Labs Dory 1.0 (4B) was released on 2026-10-16.

Nemotron Labs Dory 1.0 (4B) is 17 months newer than DeepSeek-R1-0528.

DeepSeek-R1-0528

May 28, 2025

1.4 years ago

Nemotron Labs Dory 1.0 (4B)

Oct 16, 2026

1 weeks ago

1.4yr 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-R1-0528 and Nemotron Labs Dory 1.0 (4B) side-by-side, then vote on the output you prefer.

DeepSeek-R1-0528
✓ Preferred
Nemotron Labs Dory 1.0 (4B)
Open in Playground

FAQ

Common questions about DeepSeek-R1-0528 vs Nemotron Labs Dory 1.0 (4B).

Which is better, DeepSeek-R1-0528 or Nemotron Labs Dory 1.0 (4B)?

DeepSeek-R1-0528 and Nemotron Labs Dory 1.0 (4B) are closely matched on the LLM Stats Score at 23.6 and 21.8. DeepSeek-R1-0528 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-R1-0528 compare to Nemotron Labs Dory 1.0 (4B) in benchmarks?

DeepSeek-R1-0528 scores MMLU-Redux: 93.4%, SimpleQA: 92.3%, AIME 2024: 91.4%, AIME 2025: 87.5%, MMLU-Pro: 85.0%. 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-R1-0528 and Nemotron Labs Dory 1.0 (4B)?

DeepSeek-R1-0528 supports 164K 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-R1-0528 and Nemotron Labs Dory 1.0 (4B)?

Key differences include LLM Stats Score (23.6 vs 21.8), licensing (MIT vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-R1-0528 and Nemotron Labs Dory 1.0 (4B)?

DeepSeek-R1-0528 is developed by DeepSeek and Nemotron Labs Dory 1.0 (4B) is developed by NVIDIA.

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