Gemini 3.1 Pro vs K-EXAONE-236B-A23B: Specs & Benchmark Comparison
| Characteristic | Gemini 3.1 Pro | K-EXAONE-236B-A23B |
|---|---|---|
| Company | LG AI Research | |
| Release Date | February 19, 2026 | December 30, 2025 |
| Parameters | — | 236B |
| Multimodal | Yes | No |
| Context (input) | 1.0M | 33K |
| Context (output) | 66K | 33K |
| Input Price / 1M | $2.50 | $0.60 |
| Output Price / 1M | $15.00 | $1.00 |
| Average Score | 0.8 | 0.8 |
| Benchmarks | ||
| MMMLU | 0.9 | 0.9 |
Visual Benchmark Comparison
Gemini 3.1 Pro
K-EXAONE-236B-A23B
MMMLU0.9 vs 0.9
0.9
0.9
Verdict
Gemini 3.1 Pro leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: Gemini 3.1 Pro — 0.8, K-EXAONE-236B-A23B — 0.8.
API Cost
K-EXAONE-236B-A23B is 10.9x cheaper: input $0.60/1M vs $2.50/1M tokens.
Context Window
Gemini 3.1 Pro supports a larger context: 1M vs 33K tokens.
Recency
Gemini 3.1 Pro is newer: released 2/19/2026 vs 12/30/2025.
More About These Models
Related Comparisons
The Gemini 3.1 Pro and K-EXAONE-236B-A23B comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the Gemini 3.1 Pro or K-EXAONE-236B-A23B page. See also the complete list of AI model comparisons.