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K-EXAONE-236B-A23B vs Nemotron 3.5 Bolt (74B A9B 24GB)

K-EXAONE-236B-A23B and Nemotron 3.5 Bolt (74B A9B 24GB) are closely matched at 25.8 and 29.6 on the LLM Stats Score.

LG AI Research · NVIDIA · Updated for 2026

Which is better?

K-EXAONE-236B-A23B and Nemotron 3.5 Bolt (74B A9B 24GB) are closely matched on the overall LLM Stats Score at 25.8 and 29.6.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose K-EXAONE-236B-A23B

  • you want predictable pricing at $0.60/M input and $1.00/M output

Choose Nemotron 3.5 Bolt (74B A9B 24GB)

  • 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 3.5 Bolt (74B A9B 24GB)
NVIDIA
Core performance indexes
LLM Stats Score
25.8
#176
29.6
#146
Reasoning
26.8
#164
28.9
#146
Agents
4.0
#181
11.9
#127
Cost, coverage & limits
Benchmark wins
—
—
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 3.5 Bolt (74B A9B 24GB)
Math
28.0#104
23.4#140
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for K-EXAONE-236B-A23B · 10 for Nemotron 3.5 Bolt (74B A9B 24GB)

No common benchmarks found

K-EXAONE-236B-A23B and Nemotron 3.5 Bolt (74B A9B 24GB)don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

162.0B diff

K-EXAONE-236B-A23B has 162.0B more parameters than Nemotron 3.5 Bolt (74B A9B 24GB), making it 218.9% larger.

LG AI Research
K-EXAONE-236B-A23B
236.0Bparameters
NVIDIA
Nemotron 3.5 Bolt (74B A9B 24GB)
74.0Bparameters
236.0B
K-EXAONE-236B-A23B
74.0B
Nemotron 3.5 Bolt (74B A9B 24GB)

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 3.5 Bolt (74B A9B 24GB)
Input- tokens
Output- tokens
Fri Oct 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Nemotron 3.5 Bolt (74B A9B 24GB) supports multimodal inputs, whereas K-EXAONE-236B-A23B does not.

Nemotron 3.5 Bolt (74B A9B 24GB) can handle both text and other forms of data like images, making it suitable for multimodal applications.

K-EXAONE-236B-A23B

Text
Images
Audio
Video

Nemotron 3.5 Bolt (74B A9B 24GB)

Text
Images
Audio
Video

License

Usage and distribution terms

K-EXAONE-236B-A23B is licensed under a proprietary license, while Nemotron 3.5 Bolt (74B A9B 24GB) 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 3.5 Bolt (74B A9B 24GB)

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 3.5 Bolt (74B A9B 24GB) was released on 2026-10-15.

Nemotron 3.5 Bolt (74B A9B 24GB) is 10 months newer than K-EXAONE-236B-A23B.

K-EXAONE-236B-A23B

Dec 31, 2025

9 months ago

Nemotron 3.5 Bolt (74B A9B 24GB)

Oct 15, 2026

4 days ago

9mo newer

Knowledge Cutoff

When training data ends

K-EXAONE-236B-A23B has a knowledge cutoff of 2025-10-01, while Nemotron 3.5 Bolt (74B A9B 24GB) has a cutoff of 2026-05-01.

Nemotron 3.5 Bolt (74B A9B 24GB) has more recent training data (up to 2026-05-01), making it potentially better informed about events through that date compared to K-EXAONE-236B-A23B (2025-10-01).

K-EXAONE-236B-A23B

Oct 2025

Nemotron 3.5 Bolt (74B A9B 24GB)

May 2026

7 mo newer

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against K-EXAONE-236B-A23B and Nemotron 3.5 Bolt (74B A9B 24GB) side-by-side, then vote on the output you prefer.

K-EXAONE-236B-A23B
✓ Preferred
Nemotron 3.5 Bolt (74B A9B 24GB)
Open in Playground

FAQ

Common questions about K-EXAONE-236B-A23B vs Nemotron 3.5 Bolt (74B A9B 24GB).

Which is better, K-EXAONE-236B-A23B or Nemotron 3.5 Bolt (74B A9B 24GB)?

K-EXAONE-236B-A23B and Nemotron 3.5 Bolt (74B A9B 24GB) are closely matched on the LLM Stats Score at 25.8 and 29.6. K-EXAONE-236B-A23B is made by LG AI Research and Nemotron 3.5 Bolt (74B A9B 24GB) 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 3.5 Bolt (74B A9B 24GB) 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 3.5 Bolt (74B A9B 24GB) scores PinchBench: 87.8%, GPQA: 86.4%, BrowseComp: 66.8%, AA-LCR: 64.1%, MCP Atlas: 52.2%.

What are the context window sizes for K-EXAONE-236B-A23B and Nemotron 3.5 Bolt (74B A9B 24GB)?

K-EXAONE-236B-A23B supports 33K tokens and Nemotron 3.5 Bolt (74B A9B 24GB) 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 3.5 Bolt (74B A9B 24GB)?

Key differences include LLM Stats Score (25.8 vs 29.6), multimodal support (no vs yes), 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 3.5 Bolt (74B A9B 24GB)?

K-EXAONE-236B-A23B is developed by LG AI Research and Nemotron 3.5 Bolt (74B A9B 24GB) is developed by NVIDIA.

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