K-EXAONE-236B-A23B vs LFM2.5-VL-3B
K-EXAONE-236B-A23B significantly outperforms across most benchmarks.
LG AI Research · Liquid AI · Updated for 2026
Which is better?
K-EXAONE-236B-A23B outperforms in 1 benchmarks (IFBench), while LFM2.5-VL-3B is better at 0 benchmarks. K-EXAONE-236B-A23B significantly outperforms across most benchmarks.
Based on current benchmark, pricing, and model metadata for 2026.
Choose K-EXAONE-236B-A23B
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
Choose LFM2.5-VL-3B
- you want the most recent training data — it shipped Aug 2026
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
K-EXAONE-236B-A23B outperforms in 1 benchmarks (IFBench), while LFM2.5-VL-3B is better at 0 benchmarks.
K-EXAONE-236B-A23B significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Model Size
Parameter count comparison
K-EXAONE-236B-A23B has 232.9B more parameters than LFM2.5-VL-3B, making it 7455.7% larger.
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).
Input Capabilities
Supported data types and modalities
LFM2.5-VL-3B supports multimodal inputs, whereas K-EXAONE-236B-A23B does not.
LFM2.5-VL-3B can handle both text and other forms of data like images, making it suitable for multimodal applications.
K-EXAONE-236B-A23B
LFM2.5-VL-3B
License
Usage and distribution terms
K-EXAONE-236B-A23B is licensed under a proprietary license, while LFM2.5-VL-3B uses LFM Open License v1.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
LFM Open License v1.0
Open weights
Release Timeline
When each model was launched
K-EXAONE-236B-A23B was released on 2025-12-31, while LFM2.5-VL-3B was released on 2026-08-12.
LFM2.5-VL-3B is 7 months newer than K-EXAONE-236B-A23B.
Dec 31, 2025
7 months ago
Aug 12, 2026
1 weeks ago
7mo newerKnowledge Cutoff
When training data ends
K-EXAONE-236B-A23B has a documented knowledge cutoff of 2025-10-01, while LFM2.5-VL-3B'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 LFM2.5-VL-3B's cutoff date.
Oct 2025
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Outputs Comparison
Judge for yourself.
Run your own prompts against K-EXAONE-236B-A23B and LFM2.5-VL-3B side-by-side, then vote on the output you prefer.
FAQ
Common questions about K-EXAONE-236B-A23B vs LFM2.5-VL-3B.