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K-EXAONE-236B-A23B vs Nemotron Labs Dory 1.0 (4B)

K-EXAONE-236B-A23B and Nemotron Labs Dory 1.0 (4B) are closely matched at 25.8 and 21.8 on the LLM Stats Score.

LG AI Research · NVIDIA · Updated for 2026

Which is better?

K-EXAONE-236B-A23B and Nemotron Labs Dory 1.0 (4B) are closely matched on the overall LLM Stats Score at 25.8 and 21.8.

In the 1 individual benchmarks reported for both models, Nemotron Labs Dory 1.0 (4B) wins 1; 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 K-EXAONE-236B-A23B

  • your work emphasizes reasoning — it leads those capability indexes

Choose Nemotron Labs Dory 1.0 (4B)

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Oct 2026
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

K-EXAONE-236B-A23B
LG AI Research
Nemotron Labs Dory 1.0 (4B)
NVIDIA
Core performance indexes
LLM Stats Score
25.8
#176
21.8
#203
Reasoning
26.8
#164
19.6
#216
Agents
4.0
#181
-1.8
#203
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$0.60 / M
— / M
Output price
$1.00 / M
— / M
Context window
32,768
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
K-EXAONE-236B-A23B
Nemotron Labs Dory 1.0 (4B)
Math
28.0#104
12.1#246
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for K-EXAONE-236B-A23B · 10 for Nemotron Labs Dory 1.0 (4B)

1 shared

K-EXAONE-236B-A23B outperforms in 0 benchmarks, while Nemotron Labs Dory 1.0 (4B) is better at 1 benchmark (IFBench).

Nemotron Labs Dory 1.0 (4B) significantly outperforms across most benchmarks.

Thu Oct 22 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

232.0B diff

K-EXAONE-236B-A23B has 232.0B more parameters than Nemotron Labs Dory 1.0 (4B), making it 5800.0% larger.

LG AI Research
K-EXAONE-236B-A23B
236.0Bparameters
NVIDIA
Nemotron Labs Dory 1.0 (4B)
4.0Bparameters
236.0B
K-EXAONE-236B-A23B
4.0B
Nemotron Labs Dory 1.0 (4B)

Context Window

Maximum input and output token capacity

Only K-EXAONE-236B-A23B specifies input context (32,768 tokens). Only K-EXAONE-236B-A23B specifies output context (32,768 tokens).

LG AI Research
K-EXAONE-236B-A23B
Input32,768 tokens
Output32,768 tokens
NVIDIA
Nemotron Labs Dory 1.0 (4B)
Input- tokens
Output- tokens
Thu Oct 22 2026 • llm-stats.com

License

Usage and distribution terms

K-EXAONE-236B-A23B is licensed under a proprietary license, 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.

K-EXAONE-236B-A23B

Proprietary

Closed source

Nemotron Labs Dory 1.0 (4B)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

K-EXAONE-236B-A23B was released on 2025-12-31, while Nemotron Labs Dory 1.0 (4B) was released on 2026-10-16.

Nemotron Labs Dory 1.0 (4B) is 10 months newer than K-EXAONE-236B-A23B.

K-EXAONE-236B-A23B

Dec 31, 2025

9 months ago

Nemotron Labs Dory 1.0 (4B)

Oct 16, 2026

6 days ago

9mo newer

Knowledge Cutoff

When training data ends

K-EXAONE-236B-A23B has a documented knowledge cutoff of 2025-10-01, while Nemotron Labs Dory 1.0 (4B)'s cutoff date is not specified.

We can confirm K-EXAONE-236B-A23B's training data extends to 2025-10-01, but cannot make a direct comparison without Nemotron Labs Dory 1.0 (4B)'s cutoff date.

K-EXAONE-236B-A23B

Oct 2025

Nemotron Labs Dory 1.0 (4B)

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against K-EXAONE-236B-A23B and Nemotron Labs Dory 1.0 (4B) side-by-side, then vote on the output you prefer.

K-EXAONE-236B-A23B
✓ Preferred
Nemotron Labs Dory 1.0 (4B)
Open in Playground

FAQ

Common questions about K-EXAONE-236B-A23B vs Nemotron Labs Dory 1.0 (4B).

Which is better, K-EXAONE-236B-A23B or Nemotron Labs Dory 1.0 (4B)?

K-EXAONE-236B-A23B and Nemotron Labs Dory 1.0 (4B) are closely matched on the LLM Stats Score at 25.8 and 21.8. K-EXAONE-236B-A23B is made by LG AI Research 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 K-EXAONE-236B-A23B compare to Nemotron Labs Dory 1.0 (4B) in benchmarks?

K-EXAONE-236B-A23B scores AIME 2025: 92.8%, MMMLU: 85.7%, MMLU-Pro: 83.8%, LiveCodeBench v6: 80.7%, t2-bench: 73.2%. 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 K-EXAONE-236B-A23B and Nemotron Labs Dory 1.0 (4B)?

K-EXAONE-236B-A23B supports 33K 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 K-EXAONE-236B-A23B and Nemotron Labs Dory 1.0 (4B)?

Key differences include LLM Stats Score (25.8 vs 21.8), licensing (Proprietary vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes K-EXAONE-236B-A23B and Nemotron Labs Dory 1.0 (4B)?

K-EXAONE-236B-A23B is developed by LG AI Research and Nemotron Labs Dory 1.0 (4B) is developed by NVIDIA.

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