Gemini 3 Flash vs K-EXAONE-236B-A23B: Specs & Benchmark Comparison
| Characteristic | Gemini 3 Flash | K-EXAONE-236B-A23B |
|---|---|---|
| Company | LG AI Research | |
| Release Date | December 16, 2025 | December 30, 2025 |
| Parameters | — | 236B |
| Multimodal | Yes | No |
| Context (input) | 1.0M | 33K |
| Context (output) | 66K | 33K |
| Input Price / 1M | $0.50 | $0.60 |
| Output Price / 1M | $3.00 | $1.00 |
| Average Score | 0.9 | 0.8 |
| Benchmarks | ||
| AIME 2025 | 1.0 | 0.9 |
| MMMLU | 0.9 | 0.9 |
Visual Benchmark Comparison
Gemini 3 Flash
K-EXAONE-236B-A23B
AIME 20251.0 vs 0.9
1.0
0.9
MMMLU0.9 vs 0.9
0.9
0.9
Verdict
K-EXAONE-236B-A23B leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: Gemini 3 Flash — 0.9, K-EXAONE-236B-A23B — 0.8.
API Cost
K-EXAONE-236B-A23B is 2.2x cheaper: input $0.60/1M vs $0.50/1M tokens.
Context Window
Gemini 3 Flash supports a larger context: 1M vs 33K tokens.
Recency
K-EXAONE-236B-A23B is newer: released 12/30/2025 vs 12/16/2025.
More About These Models
Related Comparisons
The Gemini 3 Flash 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 Flash or K-EXAONE-236B-A23B page. See also the complete list of AI model comparisons.