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Complete and accurate global solar radiation (R_s) data at a specific region are crucial for regional climate assessment and crop growth modeling. The objective of this paper was to evaluate the capability of 12 solar radiation models based on meteorological data obtained from 21 meteorological stations in China. The results showed that the estimated and measured daily R_s had statistically significant correlations (P < 0.01) for all the 12 models in 7 subzones of China. The Bahel model showed the best performance for daily R_s estimation among the sunshine‐based models, with average R² of 0.910, average RMSE of 2.306 MJ m⁻² d⁻¹, average RRMSE of 17.3%, average MAE of 1.724 MJ m⁻² d⁻¹, and average NS of 0.895, respectively. The Bristow‐Campbell (BC) model showed the best performance among the temperature‐based models, with average R² of 0.710, average RMSE of 3.952 MJ m⁻² d …