K-EXAONE-236B-A23B vs Qwen3.5-9B Comparison
Comparing K-EXAONE-236B-A23B and Qwen3.5-9B across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
K-EXAONE-236B-A23B outperforms in 4 benchmarks (IFBench, LiveCodeBench v6, MMLU-Pro, MMMLU), while Qwen3.5-9B is better at 1 benchmark (t2-bench).
K-EXAONE-236B-A23B significantly outperforms across most benchmarks.
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 227.0B more parameters than Qwen3.5-9B, making it 2522.2% 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
Qwen3.5-9B supports multimodal inputs, whereas K-EXAONE-236B-A23B does not.
Qwen3.5-9B can handle both text and other forms of data like images, making it suitable for multimodal applications.
K-EXAONE-236B-A23B
Qwen3.5-9B
License
Usage and distribution terms
K-EXAONE-236B-A23B is licensed under a proprietary license, while Qwen3.5-9B 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
K-EXAONE-236B-A23B was released on 2025-12-31, while Qwen3.5-9B was released on 2026-03-02.
Qwen3.5-9B is 2 months newer than K-EXAONE-236B-A23B.
Dec 31, 2025
2 months ago
Mar 2, 2026
1 weeks ago
2mo newerKnowledge Cutoff
When training data ends
K-EXAONE-236B-A23B has a documented knowledge cutoff of 2025-10-01, while Qwen3.5-9B'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 Qwen3.5-9B's cutoff date.
Oct 2025
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Outputs Comparison
Key Takeaways
K-EXAONE-236B-A23B
View detailsLG AI Research
Qwen3.5-9B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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