diff --git a/testdata/dnn/onnx/data/input_min_0.npy b/testdata/dnn/onnx/data/input_min_0.npy
new file mode 100644
index 000000000..2fcd58621
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diff --git a/testdata/dnn/onnx/data/input_min_1.npy b/testdata/dnn/onnx/data/input_min_1.npy
new file mode 100644
index 000000000..f0d172b19
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diff --git a/testdata/dnn/onnx/data/output_min.npy b/testdata/dnn/onnx/data/output_min.npy
new file mode 100644
index 000000000..bdc8ad2f8
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diff --git a/testdata/dnn/onnx/generate_onnx_models.py b/testdata/dnn/onnx/generate_onnx_models.py
index 6a5515281..f1eafb1e6 100644
--- a/testdata/dnn/onnx/generate_onnx_models.py
+++ b/testdata/dnn/onnx/generate_onnx_models.py
@@ -1126,6 +1126,19 @@ def forward(self, x):
 model = ReduceMax(axes=1)
 save_data_and_model("reduce_max_axis_1", x, model)
 
+class Min(nn.Module):
+    def __init__(self, *args, **kwargs):
+        super(Min, self).__init__()
+
+    def forward(self, a, b):
+        return torch.min(a, b)
+
+model = Min()
+input_0 = Variable(torch.randn(2, 3, 4, 5, dtype=torch.float32))
+input_1 = Variable(torch.randn(2, 3, 4, 5, dtype=torch.float32))
+save_data_and_model_multy_inputs("min", model, input_0, input_1, export_params=True)
+simplify('models/min.onnx', False)
+
 class ResizeConv(nn.Module):
     def __init__(
             self,
diff --git a/testdata/dnn/onnx/models/min.onnx b/testdata/dnn/onnx/models/min.onnx
new file mode 100644
index 000000000..80ba45a04
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