Steerable Model Merging (ST-Merge) introduces a gated cross-attention mechanism to adaptively weight source models during multilingual reasoning. It outperforms existing baselines on four multilingual reasoning benchmarks across 21 languages by dynamically prioritizing models based on input characteristics.