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DeepSeek-V3.2-Exp vs Nemotron Labs Dory 1.0 (4B)

DeepSeek-V3.2-Exp and Nemotron Labs Dory 1.0 (4B) are closely matched at 27.7 and 21.8 on the LLM Stats Score.

DeepSeek · NVIDIA · Updated for 2026

Which is better?

DeepSeek-V3.2-Exp and Nemotron Labs Dory 1.0 (4B) are closely matched on the overall LLM Stats Score at 27.7 and 21.8.

In the 3 individual benchmarks reported for both models, DeepSeek-V3.2-Exp 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-V3.2-Exp

  • 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-V3.2-Exp
DeepSeek
Nemotron Labs Dory 1.0 (4B)
NVIDIA
Core performance indexes
LLM Stats Score
27.7
#160
21.8
#203
Reasoning
27.6
#156
19.6
#216
Coding
17.1
#143
2.8
#244
Agents
5.6
#166
-1.8
#203
Cost, coverage & limits
Benchmark wins
3 of 3
0 of 3
Input price
$0.27 / M
— / M
Output price
$0.41 / M
— / M
Context window
163,840
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V3.2-Exp
Nemotron Labs Dory 1.0 (4B)
Math
26.1#112
12.1#246
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

14 reported for DeepSeek-V3.2-Exp · 10 for Nemotron Labs Dory 1.0 (4B)

3 shared

DeepSeek-V3.2-Exp 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-V3.2-Exp significantly outperforms across most benchmarks.

Fri Oct 23 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

681.0B diff

DeepSeek-V3.2-Exp has 681.0B more parameters than Nemotron Labs Dory 1.0 (4B), making it 17025.0% larger.

DeepSeek
DeepSeek-V3.2-Exp
685.0Bparameters
NVIDIA
Nemotron Labs Dory 1.0 (4B)
4.0Bparameters
685.0B
DeepSeek-V3.2-Exp
4.0B
Nemotron Labs Dory 1.0 (4B)

Context Window

Maximum input and output token capacity

Only DeepSeek-V3.2-Exp specifies input context (163,840 tokens). Only DeepSeek-V3.2-Exp specifies output context (65,536 tokens).

DeepSeek
DeepSeek-V3.2-Exp
Input163,840 tokens
Output65,536 tokens
NVIDIA
Nemotron Labs Dory 1.0 (4B)
Input- tokens
Output- tokens
Fri Oct 23 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3.2-Exp 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-V3.2-Exp

MIT

Open weights

Nemotron Labs Dory 1.0 (4B)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

DeepSeek-V3.2-Exp was released on 2025-09-29, while Nemotron Labs Dory 1.0 (4B) was released on 2026-10-16.

Nemotron Labs Dory 1.0 (4B) is 13 months newer than DeepSeek-V3.2-Exp.

DeepSeek-V3.2-Exp

Sep 29, 2025

1.1 years ago

Nemotron Labs Dory 1.0 (4B)

Oct 16, 2026

6 days ago

1.0yr 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-V3.2-Exp and Nemotron Labs Dory 1.0 (4B) side-by-side, then vote on the output you prefer.

DeepSeek-V3.2-Exp
✓ Preferred
Nemotron Labs Dory 1.0 (4B)
Open in Playground

FAQ

Common questions about DeepSeek-V3.2-Exp vs Nemotron Labs Dory 1.0 (4B).

Which is better, DeepSeek-V3.2-Exp or Nemotron Labs Dory 1.0 (4B)?

DeepSeek-V3.2-Exp and Nemotron Labs Dory 1.0 (4B) are closely matched on the LLM Stats Score at 27.7 and 21.8. DeepSeek-V3.2-Exp 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-V3.2-Exp compare to Nemotron Labs Dory 1.0 (4B) in benchmarks?

DeepSeek-V3.2-Exp scores SimpleQA: 97.1%, AIME 2025: 89.3%, MMLU-Pro: 85.0%, HMMT 2025: 83.6%, GPQA: 79.9%. 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-V3.2-Exp and Nemotron Labs Dory 1.0 (4B)?

DeepSeek-V3.2-Exp 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-V3.2-Exp and Nemotron Labs Dory 1.0 (4B)?

Key differences include LLM Stats Score (27.7 vs 21.8), licensing (MIT vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3.2-Exp and Nemotron Labs Dory 1.0 (4B)?

DeepSeek-V3.2-Exp is developed by DeepSeek and Nemotron Labs Dory 1.0 (4B) is developed by NVIDIA.

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