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EXAONE 4.5 33B vs K-EXAONE-236B-A23B

EXAONE 4.5 33B and K-EXAONE-236B-A23B are closely matched at 26.0 and 26.2 on the LLM Stats Score.

LG AI Research · LG AI Research · Updated for 2026

Which is better?

EXAONE 4.5 33B and K-EXAONE-236B-A23B are closely matched on the overall LLM Stats Score at 26.0 and 26.2.

In the 3 individual benchmarks reported for both models, EXAONE 4.5 33B 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 EXAONE 4.5 33B

  • you value its reported benchmark strengths — it wins 2 of 3 exact shared results
  • you want the most recent training data — it shipped Apr 2026

Choose K-EXAONE-236B-A23B

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

At a glance

The differences that matter most.

EXAONE 4.5 33B
LG AI Research
K-EXAONE-236B-A23B
LG AI Research
Core performance indexes
LLM Stats Score
26.0
#160
26.2
#159
Reasoning
26.6
#153
27.2
#147
Cost, coverage & limits
Benchmark wins
2 of 3
1 of 3
Input price
— / M
$0.60 / M
Output price
— / M
$1.00 / M
Context window
—
32,768

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
EXAONE 4.5 33B
K-EXAONE-236B-A23B
Math
28.4#95
28.0#98
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

15 reported for EXAONE 4.5 33B · 6 for K-EXAONE-236B-A23B

3 shared

EXAONE 4.5 33B outperforms in 2 benchmarks (AIME 2025, LiveCodeBench v6), while K-EXAONE-236B-A23B is better at 1 benchmark (MMLU-Pro).

EXAONE 4.5 33B shows notably better performance in the majority of benchmarks.

Wed Oct 07 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

203.0B diff

K-EXAONE-236B-A23B has 203.0B more parameters than EXAONE 4.5 33B, making it 615.2% larger.

LG AI Research
EXAONE 4.5 33B
33.0Bparameters
LG AI Research
K-EXAONE-236B-A23B
236.0Bparameters
33.0B
EXAONE 4.5 33B
236.0B
K-EXAONE-236B-A23B

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
EXAONE 4.5 33B
Input- tokens
Output- tokens
LG AI Research
K-EXAONE-236B-A23B
Input32,768 tokens
Output32,768 tokens
Wed Oct 07 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

EXAONE 4.5 33B supports multimodal inputs, whereas K-EXAONE-236B-A23B does not.

EXAONE 4.5 33B can handle both text and other forms of data like images, making it suitable for multimodal applications.

EXAONE 4.5 33B

Text
Images
Audio
Video

K-EXAONE-236B-A23B

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

EXAONE 4.5 33B

Proprietary

Closed source

K-EXAONE-236B-A23B

Proprietary

Closed source

Release Timeline

When each model was launched

EXAONE 4.5 33B was released on 2026-04-09, while K-EXAONE-236B-A23B was released on 2025-12-31.

EXAONE 4.5 33B is 3 months newer than K-EXAONE-236B-A23B.

EXAONE 4.5 33B

Apr 9, 2026

6 months ago

3mo newer
K-EXAONE-236B-A23B

Dec 31, 2025

9 months ago

Knowledge Cutoff

When training data ends

EXAONE 4.5 33B has a knowledge cutoff of 2024-12-01, while K-EXAONE-236B-A23B has a cutoff of 2025-10-01.

K-EXAONE-236B-A23B has more recent training data (up to 2025-10-01), making it potentially better informed about events through that date compared to EXAONE 4.5 33B (2024-12-01).

EXAONE 4.5 33B

Dec 2024

K-EXAONE-236B-A23B

Oct 2025

10 mo newer

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against EXAONE 4.5 33B and K-EXAONE-236B-A23B side-by-side, then vote on the output you prefer.

EXAONE 4.5 33B
✓ Preferred
K-EXAONE-236B-A23B
Open in Playground

FAQ

Common questions about EXAONE 4.5 33B vs K-EXAONE-236B-A23B.

Which is better, EXAONE 4.5 33B or K-EXAONE-236B-A23B?

EXAONE 4.5 33B and K-EXAONE-236B-A23B are closely matched on the LLM Stats Score at 26.0 and 26.2. EXAONE 4.5 33B is made by LG AI Research and K-EXAONE-236B-A23B is made by LG AI Research. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does EXAONE 4.5 33B compare to K-EXAONE-236B-A23B in benchmarks?

EXAONE 4.5 33B scores AIME 2025: 92.9%, AIME 2026: 92.6%, IFEval: 89.6%, AI2D: 89.0%, MathVista-Mini: 85.0%. K-EXAONE-236B-A23B scores AIME 2025: 92.8%, MMMLU: 85.7%, MMLU-Pro: 83.8%, LiveCodeBench v6: 80.7%, t2-bench: 73.2%.

What are the context window sizes for EXAONE 4.5 33B and K-EXAONE-236B-A23B?

EXAONE 4.5 33B supports an unknown number of tokens and K-EXAONE-236B-A23B supports 33K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between EXAONE 4.5 33B and K-EXAONE-236B-A23B?

Key differences include LLM Stats Score (26.0 vs 26.2), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

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