K-EXAONE-236B-A23B vs Qwen3-Next-80B-A3B-Instruct: Specs & Benchmark Comparison
| Characteristic | K-EXAONE-236B-A23B | Qwen3-Next-80B-A3B-Instruct |
|---|---|---|
| Company | LG AI Research | Alibaba |
| Release Date | December 30, 2025 | September 9, 2025 |
| Parameters | 236B | 80B |
| Multimodal | No | No |
| Context (input) | 33K | 66K |
| Context (output) | 33K | 66K |
| Input Price / 1M | $0.60 | $0.15 |
| Output Price / 1M | $1.00 | $1.50 |
| Average Score | 0.8 | 0.9 |
Verdict
K-EXAONE-236B-A23B leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: K-EXAONE-236B-A23B — 0.8, Qwen3-Next-80B-A3B-Instruct — 0.9.
API Cost
K-EXAONE-236B-A23B is 1.0x cheaper: input $0.60/1M vs $0.15/1M tokens.
Context Window
Qwen3-Next-80B-A3B-Instruct supports a larger context: 66K vs 33K tokens.
Recency
K-EXAONE-236B-A23B is newer: released 12/30/2025 vs 9/9/2025.
More About These Models
Related Comparisons
The K-EXAONE-236B-A23B and Qwen3-Next-80B-A3B-Instruct 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-Next-80B-A3B-Instruct page. See also the complete list of AI model comparisons.