K-EXAONE-236B-A23B vs Qwen2-VL-72B-Instruct Comparison
Comparing K-EXAONE-236B-A23B and Qwen2-VL-72B-Instruct across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
K-EXAONE-236B-A23B and Qwen2-VL-72B-Instruct don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
K-EXAONE-236B-A23B has 162.6B more parameters than Qwen2-VL-72B-Instruct, making it 221.5% 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
Qwen2-VL-72B-Instruct supports multimodal inputs, whereas K-EXAONE-236B-A23B does not.
Qwen2-VL-72B-Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
K-EXAONE-236B-A23B
Qwen2-VL-72B-Instruct
License
Usage and distribution terms
K-EXAONE-236B-A23B is licensed under a proprietary license, while Qwen2-VL-72B-Instruct uses tongyi-qianwen.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
tongyi-qianwen
Open weights
Release Timeline
When each model was launched
K-EXAONE-236B-A23B was released on 2025-12-31, while Qwen2-VL-72B-Instruct was released on 2024-08-29.
K-EXAONE-236B-A23B is 16 months newer than Qwen2-VL-72B-Instruct.
Dec 31, 2025
2 months ago
1.3yr newerAug 29, 2024
1.5 years ago
Knowledge Cutoff
When training data ends
K-EXAONE-236B-A23B has a knowledge cutoff of 2025-10-01, while Qwen2-VL-72B-Instruct has a cutoff of 2023-06-30.
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 Qwen2-VL-72B-Instruct (2023-06-30).
Oct 2025
2.3 yr newerJun 2023
Outputs Comparison
Key Takeaways
K-EXAONE-236B-A23B
View detailsLG AI Research
Qwen2-VL-72B-Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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