K-EXAONE-236B-A23B vs Qwen3.5-397B-A17B: Specs & Benchmark Comparison
| Characteristic | K-EXAONE-236B-A23B | Qwen3.5-397B-A17B |
|---|---|---|
| Company | LG AI Research | Alibaba |
| Release Date | December 30, 2025 | February 15, 2026 |
| Parameters | 236B | 397B |
| Multimodal | No | Yes |
| Context (input) | 33K | — |
| Context (output) | 33K | — |
| Input Price / 1M | $0.60 | — |
| Output Price / 1M | $1.00 | — |
| Average Score | 0.8 | 0.9 |
Verdict
Qwen3.5-397B-A17B leads in 1 out of 2 comparison categories.
Overall Performance
Both models show comparable average scores: K-EXAONE-236B-A23B — 0.8, Qwen3.5-397B-A17B — 0.9.
Recency
Qwen3.5-397B-A17B is newer: released 2/15/2026 vs 12/30/2025.
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The K-EXAONE-236B-A23B and Qwen3.5-397B-A17B comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the K-EXAONE-236B-A23B or Qwen3.5-397B-A17B page. See also the complete list of AI model comparisons.