K-EXAONE-236B-A23B vs Qwen3 VL 32B Thinking: Specs & Benchmark Comparison
| Characteristic | K-EXAONE-236B-A23B | Qwen3 VL 32B Thinking |
|---|---|---|
| Company | LG AI Research | Alibaba |
| Release Date | December 30, 2025 | September 21, 2025 |
| Parameters | 236B | 33B |
| Multimodal | No | Yes |
| Context (input) | 33K | — |
| Context (output) | 33K | — |
| Input Price / 1M | $0.60 | — |
| Output Price / 1M | $1.00 | — |
| Average Score | 0.8 | 144.5 |
Verdict
Both models show equal results — the choice depends on your specific use case.
Overall Performance
Qwen3 VL 32B Thinking shows a higher average benchmark score: 144.5 vs 0.8.
Recency
K-EXAONE-236B-A23B is newer: released 12/30/2025 vs 9/21/2025.
More About These Models
Related Comparisons
The K-EXAONE-236B-A23B and Qwen3 VL 32B Thinking 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 VL 32B Thinking page. See also the complete list of AI model comparisons.