EXAONE 4.5 33B vs K2 Horizon MoVA 36B-A4B
K2 Horizon MoVA 36B-A4B leads the LLM Stats Score 29.8 to 25.3.
LG AI Research · Institute of Foundation Models · Updated for 2026
Which is better?
K2 Horizon MoVA 36B-A4B leads the overall LLM Stats Score 29.8 to 25.3, ranking #150 overall.
In the 2 individual benchmarks reported for both models, K2 Horizon MoVA 36B-A4B 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 are already invested in the LG AI Research ecosystem
Choose K2 Horizon MoVA 36B-A4B
- overall performance matters — it scores 29.8 and ranks #150 on LLM Stats
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- you want the most recent training data — it shipped Sep 2026
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
15 reported for EXAONE 4.5 33B · 9 for K2 Horizon MoVA 36B-A4B
EXAONE 4.5 33B outperforms in 0 benchmarks, while K2 Horizon MoVA 36B-A4B is better at 2 benchmarks (AA-LCR, GPQA).
K2 Horizon MoVA 36B-A4B significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
K2 Horizon MoVA 36B-A4B has 3.0B more parameters than EXAONE 4.5 33B, making it 9.1% larger.
Input capabilities
Documented input modalities across available providers
EXAONE 4.5 33B supports multimodal inputs, whereas K2 Horizon MoVA 36B-A4B 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
K2 Horizon MoVA 36B-A4B
License
Usage and distribution terms
EXAONE 4.5 33B is licensed under a proprietary license, while K2 Horizon MoVA 36B-A4B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
EXAONE 4.5 33B was released on 2026-04-09, while K2 Horizon MoVA 36B-A4B was released on 2026-09-03.
K2 Horizon MoVA 36B-A4B is 5 months newer than EXAONE 4.5 33B.
Apr 9, 2026
6 months ago
Sep 3, 2026
1 months ago
4mo newerKnowledge Cutoff
When training data ends
EXAONE 4.5 33B has a documented knowledge cutoff of 2024-12-01, while K2 Horizon MoVA 36B-A4B's cutoff date is not specified.
We can confirm EXAONE 4.5 33B's training data extends to 2024-12-01, but cannot make a direct comparison without K2 Horizon MoVA 36B-A4B's cutoff date.
Dec 2024
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Outputs Comparison
Judge for yourself.
Run your own prompts against EXAONE 4.5 33B and K2 Horizon MoVA 36B-A4B side-by-side, then vote on the output you prefer.
FAQ
Common questions about EXAONE 4.5 33B vs K2 Horizon MoVA 36B-A4B.