Model Comparison

DeepSeek VL2 Small vs K-EXAONE-236B-A23BWhich is better in 2026?

Comparing DeepSeek VL2 Small and K-EXAONE-236B-A23B across benchmarks, pricing, and capabilities.

Verdict: DeepSeek VL2 Small vs K-EXAONE-236B-A23B — which is better?

DeepSeek VL2 Small (by DeepSeek) and K-EXAONE-236B-A23B (by LG AI Research) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Choose DeepSeek VL2 Small if…

  • you need open weights you can self-host or fine-tune

Choose K-EXAONE-236B-A23B if…

  • you want the most recent training data — it shipped Dec 2025
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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek VL2 Small and K-EXAONE-236B-A23Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

220.0B diff

K-EXAONE-236B-A23B has 220.0B more parameters than DeepSeek VL2 Small, making it 1375.0% larger.

DeepSeek
DeepSeek VL2 Small
16.0Bparameters
LG AI Research
K-EXAONE-236B-A23B
236.0Bparameters
16.0B
DeepSeek VL2 Small
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).

DeepSeek
DeepSeek VL2 Small
Input- tokens
Output- tokens
LG AI Research
K-EXAONE-236B-A23B
Input32,768 tokens
Output32,768 tokens
Fri Jun 12 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

DeepSeek VL2 Small supports multimodal inputs, whereas K-EXAONE-236B-A23B does not.

DeepSeek VL2 Small can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek VL2 Small

Text
Images
Audio
Video

K-EXAONE-236B-A23B

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Small is licensed under deepseek, while K-EXAONE-236B-A23B uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek VL2 Small

deepseek

Open weights

K-EXAONE-236B-A23B

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek VL2 Small was released on 2024-12-13, while K-EXAONE-236B-A23B was released on 2025-12-31.

K-EXAONE-236B-A23B is 13 months newer than DeepSeek VL2 Small.

DeepSeek VL2 Small

Dec 13, 2024

1.5 years ago

K-EXAONE-236B-A23B

Dec 31, 2025

5 months ago

1.0yr newer

Knowledge Cutoff

When training data ends

K-EXAONE-236B-A23B has a documented knowledge cutoff of 2025-10-01, while DeepSeek VL2 Small'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 DeepSeek VL2 Small's cutoff date.

DeepSeek VL2 Small

—

K-EXAONE-236B-A23B

Oct 2025

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Supports multimodal inputs
Has open weights
LG AI Research
Larger context window (32,768 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2 Small
LG AI Research
K-EXAONE-236B-A23B

FAQ

Common questions about DeepSeek VL2 Small vs K-EXAONE-236B-A23B.

Which is better, DeepSeek VL2 Small or K-EXAONE-236B-A23B?

DeepSeek VL2 Small (DeepSeek) and K-EXAONE-236B-A23B (LG AI Research) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek VL2 Small compare to K-EXAONE-236B-A23B in benchmarks?

DeepSeek VL2 Small scores DocVQA: 92.3%, ChartQA: 84.5%, OCRBench: 83.4%, TextVQA: 83.4%, MMBench: 80.3%. 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 DeepSeek VL2 Small and K-EXAONE-236B-A23B?

DeepSeek VL2 Small 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 DeepSeek VL2 Small and K-EXAONE-236B-A23B?

Key differences include multimodal support (yes vs no), licensing (deepseek vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 Small and K-EXAONE-236B-A23B?

DeepSeek VL2 Small is developed by DeepSeek and K-EXAONE-236B-A23B is developed by LG AI Research.

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