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

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

LG AI Research · LG AI Research · Updated for 2026

Which is better?

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.

Based on current benchmark, pricing, and model metadata for 2026.

Choose EXAONE 4.5 33B

  • you want the strongest raw capability — it leads on 2 of 3 shared benchmarks
  • 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
Benchmark wins
2 of 3
1 of 3
Input price
— / M
$0.60 / M
Output price
— / M
$1.00 / M
Context window
—
32,768
Released
Apr 2026
Dec 2025
License
Proprietary
Proprietary

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

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.

Thu Aug 27 2026 • llm-stats.com

Arena Performance

Playground indexes and blind 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
Thu Aug 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

4 months ago

3mo newer
K-EXAONE-236B-A23B

Dec 31, 2025

7 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?Start an Issue discussion→

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 shows notably better performance in the majority of benchmarks. 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 benchmark scores, pricing, and capabilities 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 multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

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