K-EXAONE-236B-A23B vs Qwen3 235B A22B: Specs & Benchmark Comparison
| Characteristic | K-EXAONE-236B-A23B | Qwen3 235B A22B |
|---|---|---|
| Company | LG AI Research | Alibaba |
| Release Date | December 30, 2025 | April 28, 2025 |
| Parameters | 236B | 235B |
| Multimodal | No | No |
| Context (input) | 33K | 128K |
| Context (output) | 33K | 128K |
| Input Price / 1M | $0.60 | $0.20 |
| Output Price / 1M | $1.00 | $0.60 |
| Average Score | 0.8 | 0.9 |
| Benchmarks | ||
| MMMLU | 0.9 | 0.9 |
Visual Benchmark Comparison
K-EXAONE-236B-A23B
Qwen3 235B A22B
MMMLU0.9 vs 0.9
0.9
0.9
Verdict
Qwen3 235B A22B leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: K-EXAONE-236B-A23B — 0.8, Qwen3 235B A22B — 0.9.
API Cost
Qwen3 235B A22B is 2.0x cheaper: input $0.20/1M vs $0.60/1M tokens.
Context Window
Qwen3 235B A22B supports a larger context: 128K vs 33K tokens.
Recency
K-EXAONE-236B-A23B is newer: released 12/30/2025 vs 4/28/2025.
More About These Models
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The K-EXAONE-236B-A23B and Qwen3 235B A22B 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 235B A22B page. See also the complete list of AI model comparisons.